JP2004208280A - Encoding apparatus and encoding method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an encoding apparatus and an encoding method for shortening entire processing time. <P>SOLUTION: A plurality of parameters are set, a basic parameter for motion prediction is generated from the set plurality of parameters, and the basic parameter is used to perform motion predictive processing. Further, the result of motion predictive processing is converted into a parameter to be used for each of a plurality of encoders, and outputted to the encoders. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

    The present invention relates to an encoding device and an encoding method for generating and outputting a plurality of compressed moving image data from one image data.

  Conventionally, a moving image encoding apparatus encodes an error between frames to realize high compression efficiency. The error between the frames is called a motion vector, and the detection of the motion vector is called a motion prediction. There are many methods for predicting a motion vector, and a block matching method is generally used. When creating compressed moving image data in a plurality of formats from one image data, the encoding device includes a plurality of encoders and creates each compressed moving image data using the encoders. Further, it is necessary to perform compression processing using a motion vector adapted to each format.

  When the motion prediction processing is performed for each encoder as in the above-described encoding processing device, the number of encoders increases. In other words, as the number of required output compressed image data increases, the encoding process in all encoders becomes enormous, and the overall processing time increases. Further, as the number of output compressed image data increases, the number of encoders must be increased, and the cost increases.

  For this reason, in the technique disclosed in Japanese Patent Application Laid-Open No. 2002-344972, a plurality of moving image encoding devices having different resolutions have a simple motion vector detection processing unit. This simple motion vector detection processing unit is configured independently of the encoder, and detects a simple motion vector at a resolution lower than the resolution of the moving image to be encoded. The encoder searches for a motion vector in a narrow range using the simple motion vector enlarged according to the resolution, and detects and encodes the motion vector corresponding to the resolution. In the technique disclosed in Japanese Patent Application Laid-Open No. 2002-344972, an encoder that performs encoding with the lowest resolution has a simple motion vector detection processing unit built-in. In this configuration, the encoder incorporating the simple motion vector detection processing unit uses the detected simple motion vector as the motion vector as it is, and the other encoders use the motion vector matching the resolution as in the former independent type. Is detected again.

JP 2002-344972 A

  However, the technique disclosed in Japanese Patent Application Laid-Open No. 2002-344972 focuses only on different resolutions of a generated compressed moving image. Further, a resolution for detecting a simple vector according to a motion vector search method is used. Therefore, when converting to a format in which other parameters are different, optimal high-speed encoding cannot be realized.

  An object of the present invention is to reduce the overall processing time in an encoding device and an encoding method for generating encoded data in a plurality of formats. Another object of the present invention is to reduce the processing time when creating compressed moving images of a plurality of formats with high accuracy.

  A plurality of parameters are set, basic parameters for performing motion prediction are generated from the set plurality of parameters, and motion prediction processing is performed using the generated basic parameters. Furthermore, the result of the motion prediction processing is converted into parameters used in each of the plurality of encoders, and output to each encoder.

ADVANTAGE OF THE INVENTION According to this invention, the encoding apparatus and encoding method which shorten the whole processing time can be obtained.

  FIG. 2 is a block diagram showing the configuration of the encoding device. 1 includes a data supply device 101, data storage devices 1021 to 1023, a parameter setting unit 13, and an encoder 14. In the following description, for example, it is assumed that image data compressed by MPEG2 is converted into a plurality of compressed image data of MPEG4 having different formats.

  The data supply device 101 supplies original data of image data encoded into a plurality of formats. The data storage devices 1021 to 1023 receive the image data encoded in a plurality of formats from the encoder 14 and store the image data. The data supply device 101 and the data storage devices 1021 to 1023 are one or a plurality of nonvolatile storage devices. For example, it is composed of a magnetic recording device such as a hard disk, but may be a DVD recording device such as a DVD-RAM or a DVD-R. Further, the data supply device 101 can be realized by a photographing device such as a digital video camera. In that case, uncompressed data can be supplied as original data.

  The parameter setting device 13 is a device for inputting information for specifying the format of the compressed image data created by the encoder 14. As will be described later, the parameter setting device 13 can be realized by an input device 131 such as a keyboard and a mouse, a display device 132, and a GUI program for parameter setting.

  The encoder 14 has an input terminal 11 to which the compressed image data 101 is input, and a plurality of output terminals 121, 122, 123 to which a plurality of compressed image data 1021, 1022, 1023 are output. The encoder 14 includes a processing device 140, a storage device 141, a decoder 142, a motion prediction processing device 143, a memory device 144, and a plurality of encoders 145, 146, 147. The encoding device 14 is realized by an information processing device such as a personal computer executing software.

  The processing device 140 controls each unit of the encoder 14. Further, processing is performed based on data stored in the storage device. The processing device 140 is realized by a CPU of an information processing device, an MPU of an encoder board, or the like.

  The storage device 141 is connected to the parameter setting device 13 and stores the parameters input from the parameter setting device 13. The storage device 141 can be realized by a main storage device of the information processing device, but can also be realized by a nonvolatile memory or a hard disk.

  The decoder 142 is connected to the input terminal 11 and generates uncompressed image data by decoding compressed image data (eg, MPEG-2 image data) compressed at a high compression rate. The decoder 142 outputs a motion vector used when decoding the compressed image data to the motion prediction processing device 143. The motion prediction processing device 143 uses this motion vector to generate a motion vector necessary for encoding.

  The motion prediction processing device 143 is connected to the storage device 141 and the decoder 142. The motion prediction processing device 143 determines basic parameters for performing motion prediction using a plurality of parameters stored in the storage device 141. The motion prediction processing device 143 performs a motion prediction process on the uncompressed image data from the decoder 142 using the determined basic parameters. The processing content of the motion prediction processing device 142 will be described later.

  The memory device 144 is connected to the motion prediction processing device 143 and stores the result of the motion prediction process. Motion prediction is a process of determining whether a point on an image has moved within a predictable range. Furthermore, it is connected to the encoders 145 to 147 and supplies prediction results. The memory device 144 can be realized by, for example, a main storage device of an information processing device.

  The encoders 145 to 147 respectively compress the image data in the format specified by the parameter setting device 13. The encoder 14 of FIG. 1 has a configuration including three encoders. The number of encoders does not necessarily have to be three as long as it is plural. An encoder including at least two or more encoders can apply the present invention.

  The encoders 145, 146, and 147 are connected to the decoder 142, the storage device 141, and the memory device 144, respectively. Further, each encoder encodes and compresses the non-compressed image data from the decoder 142 using the plurality of parameters stored in the storage device 141 and the result of the motion prediction process stored in the memory device 141. Generate image data. The compressed image data is output to each of the plurality of output terminals 121, 122, and 123.

  FIG. 2 shows a block diagram of the decoder 142. The decoder can be realized by a decoder board as a single piece of hardware, but can also be realized by software.

  The decoder 142 has a buffer 201, a variable length decoder 202, an inverse quantizer 203, an IDCT unit 204, a motion compensator 205, and a frame memory 206. The buffer 201 temporarily stores the compressed image data input from the input terminal 11. The IVLC 202 performs a variable length decoding process on the variable length compressed data to convert the data into DCT format image data. The IQ 203 is an inverse quantizer that inversely quantizes the quantized code. The IDCT restores a data sequence using an inverse discrete cosine coefficient. The motion compensator 205 performs motion compensation using the variable-length decoded motion prediction vector. The frame memory 206 stores frame data to be subjected to motion compensation.

  FIG. 3A shows a decoding process in the decoder 142. First, the buffer 201 temporarily stores the input compressed image data (step 301). The IVLC 202 performs a variable length decoding process (Step 303), and the IQ 203 performs an inverse quantization process (Step 305). Thereafter, the IDCT unit performs an inverse discrete cosine transform process (step 307). On the other hand, after the variable length decoding process is performed, the motion compensator extracts a motion prediction vector and performs motion compensation (step 309). The result of the motion compensation and the result of the IDCT processing are logically added to produce uncompressed image data. The uncompressed image data is then sent to encoders 145-147. Further, the motion compensator 205 provides the motion vector created from the compressed data to the motion prediction processing device 143 (Step 311).

  FIG. 4 shows a configuration diagram of each of the encoders 145 to 147. The encoder may be configured as a single piece of hardware, but can also be realized by software.

  4 includes frame memories 401 and 415, a DCT unit 403, a quantizer 405, a VLC unit 407, a buffer 409, an inverse quantizer 411, an IDCT unit 413, and a motion compensator 417. Each function is the same as each unit of the conventional encoder, but the encoder of FIG. 3 does not have a motion estimator. The encoder in FIG. 3 acquires a motion vector from the motion prediction processing device 143 outside the encoder, and performs motion compensation and the like using the acquired motion vector.

  The parameter setting device 13 will be described with reference to FIG. The parameter setting unit 13 sets a plurality of parameters for generating a plurality of compressed image data 1021, 1022, and 1023 output to each of the plurality of output terminals 121, 122, and 123. The plurality of compressed image data 1021, 1022, and 1023 are generated by the encoders 145, 146, and 147. To generate the compressed image data, a plurality of parameters including a frame rate, an image size, and a bit rate are provided for each of the encoders 145, 146, and 147. is necessary. These parameters are set by the parameter setting device 13.

  FIG. 5 shows a screen of the display device 132. The parameter setting device 13 displays the setting screen of FIG. 5 to prompt the operator to input the setting. The setting screen has a format setting area 1300 for setting the format of the compressed image data to be generated, and a priority setting area 1310 for setting the priority in the high-speed compression processing. Although only one format setting area 1300 is shown for the sake of explanation, the number of coded data to be generated is set.

  For example, in the case of MPEG4, since there are a plurality of formats, options of respective parameters in the format setting area 1300 are also as follows. The image quality includes options 1301 of high image quality, medium image quality, and low image quality. The bit rate option 1303 has a configuration in which a specific value from 5 kbps to 38.4 Mbps can be input. The image size has options 1305 such as 176 pixels × 120 lines, 240 pixels × 176 lines, 320 pixels × 240 lines, and 352 pixels × 240 lines. The frame rate options 1307 include, for example, 24 fps, 25 fps, 29.97 fps, 50 fps, 60 fps, and manual input settings by an operator.

  The priority setting area 1310 is an area for setting a parameter serving as a reference for performing processing for passing to the encoder. That is, the motion prediction processing device 143 detects only one motion vector value. When passing this motion vector value to each encoder, it is necessary to process the motion vector. When performing this processing, it is necessary to set which parameter of the image format to be compressed by each encoder as a reference. In the case of the priority setting area 1310 in FIG. 5, it can be set so that the processing is performed based on the image size or the frame rate.

  As a setting method, consider a case in which data of a frame rate of 25 fps, a resolution of 352 pixels × 240 lines is input, and only the size of the image is changed. If the format in which the conversion is performed is 352 pixels × 240 lines and 176 pixels × 120 lines having the same resolution as the original image data, it is only necessary to detect one of the motion vectors and reduce or expand the vector. Therefore, it is more advantageous to use the image size as a reference. Conversely, regardless of the image size of the format after the change, when the frame rates are 25 fps and 50 fps, the motion vector of the 50 fps is detected and divided into two for 25 fps. It is better to give priority to the rate.

  Using the setting screen shown in FIG. 5, the operator sets various parameters and sets priorities. Input is performed from the input device 133. For example, a configuration using a mouse and a pull-down may be used, or an input from a keyboard may be used. The storage device 141 holds the input parameters and the priority parameters.

  The format of the image data before encoding is also specified using a screen similar to the setting screen of FIG. That is, the configuration is such that the parameter of the format of the image data to be encoded input to the encoder 14 is designated. The input parameters are stored in the storage device 141.

  FIG. 6 is a diagram illustrating processing of the motion prediction processing device 143. The motion prediction processing device 1143 reads the setting parameters, the setting frame rate, the setting image size, and the setting bit rate stored in the storage device 141 (Step 401). A set of these setting parameters is stored for the number of compressed images to be generated. From the read parameters, a priority setting determination 402 determines whether to prioritize the frame rate or the image size. If the priority of the processing is not set in the parameter setting unit 13, the frame rate is given priority. This is because the possibility of changing the image size is higher than changing the frame rate in format conversion. The setting of the priority when there is no setting may be configured separately.

  First, when the frame rate is prioritized, the frame rate check processing 603 is first executed. It is determined whether there are two or more largest frame rate values among the set frame rate values. When there are two or more set frame rates set to the maximum value, the process proceeds to the image size check processing 604 thereafter. If the maximum frame rate is set to one, the process proceeds to step 617, the value is stored in the storage device 641 as a basic parameter of the frame rate, and the process returns to the image size check processing 604.

  In the image size check processing 604, it is determined whether or not two or more of the largest set image sizes have the same value. If the plurality of set image sizes are set to the maximum value, the process proceeds to the bit rate check processing 605. If there is only one set image size having the maximum image size value, the process proceeds to step 609. In step 609, the maximum image size value is stored in the storage device 141 as a basic parameter of the image size, and the process proceeds to the bit rate check processing 605.

  In the bit rate check processing 604, if the largest one of the set bit rates is the same value or two or more, the larger one is determined as the basic parameter, and the process proceeds to step 606. If there is only one set bit rate with the maximum bit rate value, the process proceeds to step 610, where the maximum value is stored in the storage device 141 as a basic parameter.

  In step 606, it is determined whether or not the basic parameters have been set. If the basic parameters have been set, the process proceeds to motion predicted value processing (step 619). If not set, a plurality of maximum setting values for each parameter are stored in the storage device 141 as basic parameters.

  On the other hand, if the priority parameter of the image size is detected in the priority setting determination 602, the process proceeds to step 611. In the case of the image size priority, the order of the check processing is different from the case of the frame rate priority, and the image size check processing 611 is executed first.

  In the image size check processing 611, it is determined whether or not there are a plurality of set image sizes having the same value and the maximum value. If there are a plurality, the process proceeds to the frame rate check process 612. If there is only one maximum set image size, the process proceeds to step 615. In step 615, the value is stored in the storage device 141 as a basic parameter, and the process proceeds to the frame rate check processing 613.

  In the frame rate check processing 612, it is determined whether or not there are a plurality of set frame rates having the same value and the maximum value. If there are a plurality, the process proceeds to bit rate check processing 613. If there is one maximum set frame rate, the process proceeds to step 616. In step 616, the value is stored in the storage device 141 as a basic parameter of the frame rate, and the process proceeds to the bit rate check processing 613.

  In the bit rate check process 613, it is determined whether there are a plurality of set bit rates having the same value and the maximum value. If there is more than one, go to step 614. If there is only one, the process proceeds to step 617. In step 617, the value is stored in the storage device 141 as a basic parameter, and the process proceeds to step 614.

  At step 614, the setting of the basic parameters is confirmed. At step 614, it is determined whether or not the basic parameters have been set. If the basic parameters have been set, the process proceeds to motion predicted value processing (step 619). If not set, a plurality of maximum setting values for each parameter are stored in the storage device 141 as basic parameters.

  In the motion prediction value processing 619, the motion vector read from the decoder 142 is processed using each basic parameter stored in the storage device 141. That is, the motion vector of the image data to be encoded is supplied from the decoder 142 to the motion prediction processing device 143. When the format of the compressed image data input from the image data supply prime 101 and the encoding format are different, a processing for matching the original motion vector with the encoding format is required.

  When the image size after conversion is the same as the image size before conversion, the processing result of the motion prediction processing device can be diverted without any particular processing. Even when the image sizes are different, it can be used by considering the enlargement / reduction ratio of the motion prediction result. In the enlargement / reduction, when the image size of the input compressed image data 101 is larger than the image size of the output compressed image data 1021 to 1023, the motion prediction value is also subjected to the reduction process in the same manner as the image size ratio. . If the image size of the input compressed image data 101 is smaller than the image size of the output compressed image data 1021 to 1023, the motion prediction value is also subjected to enlargement processing in the same manner as the image size ratio. If the image size of the compressed image data 101 to be input is the same as the image size of the compressed image data 1021 to 1023 to be output, the execution of the motion prediction value processing 608 is omitted.

  When the frame rate is converted, processing is further performed according to the frame rate conversion. In other words, when the set frame rate is higher than the original frame rate, division by the conversion rate of the frame rate is performed. Conversely, when the set frame rate is lower than the original frame rate, the motion vector is lengthened by accumulating at the frame rate conversion ratio. With this processing, the motion vector can be changed in accordance with the conversion of the number of frames per second.

  The picture pattern at the time of conversion is determined by the encoder. In the case of the conversion that differs only in the frame rate, by following the picture pattern before the conversion, the portion that can be used increases, and the processing time can be further reduced.

  Next, in the motion vector processing result writing process 620, the converted motion vectors are written in the memory device 144. The memory device 144 has an area for storing a motion vector in accordance with each of the encoders 145 to 147, and each of the encoders 145 to 147 performs an encoding process using the stored motion vector. In this way, the motion vector processing 619 and the motion vector value processing result writing processing 620 are performed until the image data ends (step 621).

  FIG. 3B is a diagram illustrating a processing flowchart of the encoders 145, 146, and 147. Since the processing of each encoder is the same, the following description focuses on the encoder 145. The encoder 145 (146, 147) starts encoding or decoding of the non-compressed image data from the decoder 142 when the motion prediction processing device 143 finishes generating the result of the motion prediction process.

  First, in the non-compressed image data input processing 300, the non-compressed image data from the decoder 142 is read. Thereafter, in the motion prediction process result input process 302, information on the result of the motion prediction process is read from the memory device 144. In the conversion parameter input processing 304, the set conversion parameters are read from the storage device 141. Next, DCT (discrete cosine transform) processing 306 is executed by using the read uncompressed image data, information on the result of the motion prediction processing, and the set transformation parameters as inputs, and quantization processing 308 and variable encoding processing 310 are performed. Execute. The compressed image data 1021 (1022, 1023) (for example, MPEG-4 image data) thus compressed is generated and output to the output terminals 121 (122, 123).

  Although the encoder 14 of FIG. 1 is shown with a number of components 142, 143, 144, 145, 146, 147, the components need not be hardware, and these operations are accomplished in software. You may. Although the converted motion vector is stored in the memory device 144, the converted motion vector may be directly output from the motion prediction processing device 143 to each of the encoders 145 to 147. In that case, the memory device 144 is not always necessary, and each encoder has a buffer area for temporarily storing the received motion vector.

  As described above, the motion prediction processing device calculates the motion vector used by the encoders 145, 146, and 147 without performing the motion prediction for each encoder. In the motion prediction processing device, one basic parameter to be used is generated, and a motion prediction process is performed using the generated basic parameter. Further, the calculated motion vector is converted into a parameter suitable for the encoding process performed by each encoder. When generating the generated basic parameters, parameters that can be easily converted are set as basic parameters based on the processing in the encoder. For this purpose, a parameter to be prioritized as a basic parameter is specified in the GUI. As described above, the basic parameters are specified before the motion prediction, and the encoders 145, 146, and 147 use the motion vectors corresponding to the respective formats in the results of the motion prediction processing to perform the motion prediction processing for each encoder. This eliminates the need for implementation. Further, the overall processing time can be reduced.

  Also, encoders must be added as the number of output compressed image data increases, but at that time, since each encoder does not require motion prediction processing, it is not built-in and the increase in encoder cost is reduced. Can be. Furthermore, precise motion prediction and encoding can be performed without each encoder having a motion prediction processing unit.

  In the above description, the input image data has been described as compressed data. However, the input image data need not be coded data. For example, uncompressed image data may be directly output from a digital video to an encoder and encoded in a plurality of formats. FIG. 7 shows a block diagram of the encoder 71 in that case. The encoder of FIG. 7 is configured to directly transmit the converted motion vector to the encoders 145-147 as described above.

  In FIG. 7, when encoding is performed in a plurality of formats using uncompressed image data, the decoder in the encoder 14 in FIG. 1 is not required. Instead, the configuration has a buffer 701 for temporarily storing the uncompressed image data received from the data supply device 101. Further, the encoder 14 in FIG. 1 extracts the motion vector from the decoder and outputs the motion vector. In the encoder 71 of FIG. 7, the motion prediction processing device 143 needs to generate a reference motion vector from the buffer 701 using uncompressed image data.

  FIG. 8 shows a processing flow of the motion prediction processing device 143 in the encoder 71. 8, the priority setting processing 801-817 is the same as the processing 602-618 in FIG. A first point different from the processing flow of FIG. 6 is that a motion prediction value generation process 818 is added instead of the motion prediction value reading process 601 in FIG. This is because the encoder in FIG. 7 does not have a decoder, so that it is necessary to generate a motion vector in the motion prediction processing device 143.

  Therefore, in FIG. 8, first, a motion vector of one format is set using each basic parameter set in the priority setting processing 801-817. The format may or may not match any one of the formats encoded by the encoders 145-147. This is because the basic parameters are set so that conversion into each format is easy. After that, the generated motion vectors are converted into respective formats by a motion vector processing process 819.

  Another difference between the processing flow of FIG. 8 and FIG. 6 is that a motion vector value output processing 820 is provided instead of the motion vector value processing result writing processing 820. This is for outputting a motion vector value to each of the encoders 145 to 147 because the encoder 71 does not have the memory device 144. Accordingly, when the encoder 71 has the memory device 144 as in the encoder 14, the motion vector value processing result writing processing 820 is performed as in FIG.

  As described above, in the case of the encoder 71 in FIG. 7, even in the case of non-compressed image data, it is possible to efficiently generate compressed image data of a plurality of formats by the configuration that determines one format of the motion vector to be calculated. It can be.

  In the configuration for determining the format to be calculated, in the encoder of FIG. 1, the configuration is such that the priority is set using the GUI, but the configuration may be such that this is automatically performed. That is, in the information processing device that implements the encoder 14, a configuration in which the priority is set by software processing is also possible.

  FIG. 9 is a flowchart of the priority setting process. This priority setting process is performed after other parameters are set by the parameter setting device 13 and before the encoding process is performed. However, any time may be used after the format of the input image data and the format of the compressed image data generated by the encoder is specified by the parameter input in the parameter setting unit 13. For example, a motion vector is created in the motion prediction processing device. The configuration may be performed before.

  In the priority setting process, first, it is determined whether or not the frame rate of the format before or after encoding has been manually set in the parameter setting (step 901). This is because, in the case of MPEG4, any setting can be made as long as the frame rate is within a predetermined range. In the case of manual input, the image size is preferentially processed (step 902). This is because, when manually input, unlike the prescribed one, the process of changing the motion vector is often complicated. If it is not a manual input, it is determined whether or not each value of the frame rate in the format before or after encoding is a multiple of the minimum value among them (step 903). The multiple includes the case where they are the same. If there is a multiple, the frame rate is preferentially set (step 904).

  If the frame rate parameter in each format does not have a multiple relationship, it is determined whether the image size before and after encoding has a multiple relationship with the minimum value among them (step 905). If so, the image size is set preferentially (step 906); otherwise, the frame rate is set preferentially (907).

  According to the processing in FIG. 9, it is possible to smoothly set the priority even when an unskilled operator performs processing. In FIG. 9, the frame rate is set with priority. This is because the degree of freedom of the frame rate is small, and there is little possibility that the frame rate is changed from the frame rate of the input image. On the other hand, there are cases where the change in the image size is larger than the change in the frame rate. In such a case, the frame rate and the image size may be replaced in FIG. 9 and the image size may be preferentially set.

FIG. 1 is an example of a block diagram of an encoding device. FIG. 2 is an example of a block diagram of a decoder. FIG. 3 is a flowchart of decoding and encoding processing. FIG. 4 is an example of a block diagram of an encoder. FIG. 5 is an example of the parameter setting GUI. FIG. 6 is an example of a processing flowchart of the motion prediction processing device. FIG. 7 is another example of a block diagram of the encoding device. FIG. 8 is another example of a processing flowchart of the motion prediction processing device. FIG. 9 is an example of a flowchart of the priority processing.

Explanation of reference numerals

11: input terminal, 121, 122, 123: output terminal, 13: parameter setting device, 14: encoder, 141: storage device, 142: decoder, 143: motion prediction processing device, 144: memory device, 145, 146 , 147: encoder, 101, 1021, 1922, 1023: compressed image data.

Claims (8)

An encoding device that generates encoded data of a plurality of formats,
An input terminal for inputting image data to be encoded;
A plurality of encoders for respectively generating encoded image data of different formats,
An output terminal for outputting a plurality of encoded image data generated by the encoder,
An input device for setting and inputting a plurality of parameters for each of the formats of image data to be encoded by the encoder,
A processing device for determining a set of basic parameters from a plurality of input parameters;
An encoding apparatus comprising: a motion prediction processor that calculates a motion vector using the set of basic parameters and outputs a motion vector used by the plurality of encoders using the motion vector. An encoding device for generating encoded data of a plurality of formats according to claim 1,
An encoding device for generating encoded data in a plurality of formats, wherein the processor is built in the motion prediction processor. An encoding apparatus for generating encoded data in a plurality of formats according to claim 2,
An encoding device, further comprising a display device for displaying a setting screen for inputting a processing priority of a parameter among the plurality of parameters. An encoding apparatus for generating encoded data in a plurality of formats according to claim 2,
The encoding device, wherein the processing device further determines a processing priority of the parameter among the plurality of parameters. An encoding apparatus for generating encoded data in a plurality of formats according to claim 2,
An encoding device further comprising a decoder for decoding encoded data input from the input terminal. 3. The encoding apparatus according to claim 2, wherein when the basic parameters set by the processor are different from any of the set formats, the motion prediction processing device specifies the basic parameters by the basic parameters. An encoding apparatus characterized by performing a motion prediction process after converting input image data into input image data. An encoding apparatus for generating encoded data in a plurality of formats according to claim 2,
The encoding device according to claim 1, wherein the plurality of parameters include an image size and a frame rate. 8. The encoding apparatus according to claim 7, wherein the processor determines the image size and the maximum input value of the frame rate as basic parameters.

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