Codebook generation for cloud-based video applications
AssigneeAdobe Inc.
InventorsViswanathan Swaminathan, Rashmi Mittal
Life of this patent
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AssigneeAdobe Inc.
InventorsViswanathan Swaminathan, Rashmi Mittal
Estimating the term…
Techniques are disclosed for the improvement of vector quantization (VQ) codebook generation. The improved codebooks may be used for compression in cloud-based video applications. VQ achieves compression by vectorizing input video streams, matching those vectors to codebook vector entries, and replacing them with indexes of the matched codebook vectors along with residual vectors to represent the difference between the input stream vector and the codebook vector. The combination of index and residual is generally smaller than the input stream vector which they collectively encode, thus providing compression. The improved codebook may be generated from training video streams by grouping together similar types of data (e.g., image data, motion data, control data) from the video stream to generate longer vectors having higher dimensions and greater structure. This improves the ability of VQ to remove redundancy and thus increase compression efficiency. Storage space is thus reduced and video transmission may be faster.
A method for generating a codebook for vector quantization of digital video content, the method comprising:
A computer program product comprising one or more non-transitory computer readable media encoded with instructions that, when executed by one or more processors, cause a process for encoding pre-compressed digital video content using vector quantization, the process comprising:
A system for decoding a video stream that has been encoded using vector quantization, thereby producing a compressed video stream, the system comprising a memory and one or more processors configured to:
Dependencies are inferred from the claim text.