[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Cheng et al., 2020 - Google Patents

Learned image compression with discretized gaussian mixture likelihoods and attention modules

Cheng et al., 2020

View PDF
Document ID
2321426178797084426
Author
Cheng Z
Sun H
Takeuchi M
Katto J
Publication year
Publication venue
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

External Links

Snippet

Image compression is a fundamental research field and many well-known compression standards have been developed for many decades. Recently, learned compression methods exhibit a fast development trend with promising results. However, there is still a …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • H04N19/635Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by filter definition or implementation details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/17Methods 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134Methods 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
    • H04N19/146Data rate or code amount at the encoder output
    • H04N19/147Data rate or code amount at the encoder output according to rate distortion criteria
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/30Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/41Bandwidth or redundancy reduction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00Image coding, e.g. from bit-mapped to non bit-mapped

Similar Documents

Publication Publication Date Title
Cheng et al. Learned image compression with discretized gaussian mixture likelihoods and attention modules
Cheng et al. Energy compaction-based image compression using convolutional autoencoder
Li et al. Learning convolutional networks for content-weighted image compression
Liu et al. Non-local attention optimized deep image compression
Cheng et al. Learning image and video compression through spatial-temporal energy compaction
Wang et al. Neural data-dependent transform for learned image compression
Wu et al. Learned block-based hybrid image compression
CN113259676B (en) Image compression method and device based on deep learning
JP2017085603A (en) Region-based image compression
Fu et al. Learned image compression with discretized gaussian-laplacian-logistic mixture model and concatenated residual modules
CN114449276B (en) Super prior side information compensation image compression method based on learning
Hoang et al. Image compression with encoder-decoder matched semantic segmentation
Jia et al. Layered image compression using scalable auto-encoder
Cheng et al. Learned lossless image compression with a hyperprior and discretized gaussian mixture likelihoods
Chen et al. Two-stage octave residual network for end-to-end image compression
Mital et al. Neural distributed image compression with cross-attention feature alignment
CN113079378B (en) Image processing method and device and electronic equipment
Ma et al. A cross channel context model for latents in deep image compression
CN113438481B (en) Training method, image encoding method, image decoding method and device
Jeon et al. Context-based trit-plane coding for progressive image compression
Shin et al. Expanded adaptive scaling normalization for end to end image compression
CN111080729A (en) Method and system for constructing training picture compression network based on Attention mechanism
Sun et al. Hlic: Harmonizing optimization metrics in learned image compression by reinforcement learning
Zhang et al. Padding-Aware Learned Image Compression
Ayyoubzadeh et al. Lossless compression of mosaic images with convolutional neural network prediction