Compression method and system of local feature descriptor based on video

Abstract

The invention discloses a compression method and system based on video local feature descriptors, which are used to solve the compression problem of video local feature descriptors in the prior art. The method includes prediction, quantization, and entropy coding, wherein the prediction includes intra-frame prediction, inter-frame prediction, and reconstructed frame prediction. The best prediction signal is selected from the three modes of prediction signals through a preset optimization strategy, and then the prediction is calculated. The residual coefficient of the signal is quantized to obtain the quantized coefficient, and then the quantized coefficient is entropy encoded, and the code stream formed after the entropy encoding is output to complete the compression of the local feature descriptor of the video. The present invention compresses the video local feature descriptor, and on the basis of joint video content, the compressed video local feature data can be expressed compactly, achieving a high compression ratio and improving the retrieval efficiency of video data.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a video-based local feature descriptor compression method and system. Background technique [0002] The local feature starts from the local structure of the image / video, describes the regional information in the image / video, and embodies the unique descriptiveness, thus transforming the complicated image / video matching problem into the measurement problem of the feature vector. Therefore, the local feature descriptor It has been widely used in image / video data processing and computer vision, such as visual retrieval, augmented reality, and target detection and recognition. [0003] In the prior art, common local feature descriptors include SIFT (Scale-Invariant Feature Transform), SURF (Speeded Up Robust Features), GLOH (Gradient Location and Orientation Histogram), and the huge amount of data of the original local feature descriptor is the descriptor One of ...

AI Technical Summary

Problems solved by technology

However, the research on video-based local feature descriptor compression methods is still in its infancy, which has caused great obstacles to the development of video data retrieval technology.

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