Compression method and system for local feature descriptor of video and video compression method

Abstract

The invention discloses a compression method and system for a local feature descriptor of a video and a video compression method. The compression method for the local feature descriptor of the video comprises the following steps: performing inter-frame prediction, quantization and entropy coding on the combined video content, calculating a residual coefficient of a prediction signal, quantizing the residual coefficient to obtain a quantization coefficient, performing entropy coding on the quantization coefficient, outputting a code stream formed after entropy coding, and finishing compression of the local feature descriptor of the video. The local feature descriptor of the video is compressed through the compression method and system, compressed video data is compactly expressed on the basis of the combined video content, and high compression ratio is achieved, so that the transmission rate of the video data is increased, the storage efficiency and the compression efficiency of the video data are improved, and the retrieval efficiency of the video data is improved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a compression method, a compression system and a video compression method of a video local feature descriptor. Background technique [0002] With the wide application of the Internet, the data of video data is getting larger and larger in the process of network transmission and storage. Compression of video data is particularly important. Local feature descriptors have been widely used in image / video data processing and computer vision. Descriptor compression is also a key technology to improve video data applications such as video data retrieval. For example, for the 128-dimensional SIFT local feature descriptor, each dimension is quantized to 8 bits, and one frame of image contains 1000 SIFT feature points, then the amount of SIFT feature data contained in a 300-frame video is 300*1000* 128*8bits=292.97Mb, no matter for storage or transmission, it needs to...

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Problems solved by technology

For example, for the 128-dimensional SIFT local feature descriptor, each dimension is quantized to 8 bits, and one frame of image contains 1000 SIFT feature points, then the amount of SIFT feature data contained in a 300-frame video is 300*1000* 128*8bits=292.97Mb, no matter for storage or transmission, it needs to pay a huge price, which is unbearable in practical applications

[0003] In the existing technologies for video data processing, most of the descriptors are compressed separately, which limits the compression ratio of the descriptors, is not conducive to the improvement of data retrieval efficiency, and also hinders the development of video retrieval technology.

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