Alizadeh et al., 2019 - Google Patents
Compressed domain moving object detection based on CRFAlizadeh et al., 2019
- Document ID
- 5583610320333090169
- Author
- Alizadeh M
- Sharifkhani M
- Publication year
- Publication venue
- IEEE Transactions on Circuits and Systems for Video Technology
External Links
Snippet
This paper aims to present a novel accurate moving object detection method based on the conditional random field (CRF) for high efficiency video coding/H. 265 compressed domain video sequences. For each block, the number of consumed bits, motion vectors (MVs), and …
- 238000001514 detection method 0 title abstract description 26
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/46—Embedding additional information in the video signal during the compression process
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhao et al. | Real-time moving object segmentation and classification from HEVC compressed surveillance video | |
Wang et al. | Modeling background and segmenting moving objects from compressed video | |
Babu et al. | A survey on compressed domain video analysis techniques | |
Alizadeh et al. | Compressed domain moving object detection based on CRF | |
Dey et al. | Efficient foreground extraction from HEVC compressed video for application to real-time analysis of surveillance ‘big’data | |
Goswami et al. | A design of fast high-efficiency video coding scheme based on markov chain monte carlo model and bayesian classifier | |
Tsai et al. | Exploring contextual redundancy in improving object-based video coding for video sensor networks surveillance | |
Biswas et al. | Anomaly detection in compressed H. 264/AVC video | |
Xiao et al. | Exploiting global redundancy in big surveillance video data for efficient coding | |
Yu et al. | Detection of fake high definition for HEVC videos based on prediction mode feature | |
US9712828B2 (en) | Foreground motion detection in compressed video data | |
Fei et al. | Mean shift clustering-based moving object segmentation in the H. 264 compressed domain | |
Kim | Fast coding unit (CU) determination algorithm for high-efficiency video coding (HEVC) in smart surveillance application | |
Hassan et al. | Predicting split decisions of coding units in HEVC video compression using machine learning techniques | |
Laumer et al. | Moving object detection in the H. 264/AVC compressed domain | |
Samaiya et al. | Intelligent video surveillance for real time energy savings in smart buildings using HEVC compressed domain features | |
Chen et al. | Fast object detection in hevc intra compressed domain | |
Ma et al. | Effective moving object detection in H. 264/AVC compressed domain for video surveillance | |
Dey et al. | Enhanced macroblock features for dynamic background modeling in H. 264/AVC video encoded at low bitrate | |
Morand et al. | Scalable object-based video retrieval in hd video databases | |
Lee et al. | Feature map compression for video coding for machines based on receptive block based principal component analysis | |
Liao et al. | Compressed-domain video synopsis via 3d graph cut and blank frame deletion | |
Tong et al. | Encoder combined video moving object detection | |
Ryu et al. | No-reference peak signal to noise ratio estimation based on generalized Gaussian modeling of transform coefficient distributions | |
Islam et al. | Classification based inter-frame prediction in video compression |