Video search system based on content comparison

Abstract

The invention relates to a video search system based on content comparison, comprising a client side and a server, wherein the client side is video search front-end equipment used for monitoring video programs in real time; and the server is a video search system operating under a network environment. In the video search system, the video programs are monitored by the client side in real time and video comparison is carried out on the video programs and video models downloaded by the server, so that the detecting and tracking of copyright information contained in a digital video source are realized, and the protected digital media content is monitored in real time, and is not duplicated and propagated randomly, therefore a necessary basis is provided for television program management structures, television broadcasting mechanisms and the like, the providers and whole industry chain of digital media content are protected, and the defects in the prior art are overcome.

Description

technical field [0001] The invention relates to the technical field of multimedia video comparison, in particular to a video retrieval system based on content comparison. Background technique [0002] In the past few decades, the field of computer vision has made many major theoretical breakthroughs and technological advances in the acquisition, storage, operation and transmission of video data, but it is still in its infancy in the query and representation of visual information. With the rapid development of science and technology, in the past ten years, many universities, research institutes, military and large groups at home and abroad have begun to invest a lot of manpower, material and financial resources in the research and development of content-based video information retrieval, and strive to use the information that can be objectively reflected. The low-level features of video information itself are used to retrieve data, and the connection between low-level feature...

AI Technical Summary

Problems solved by technology

[0009] Although there are a variety of algorithms, there are still many problems due to the richness of video content: such as the distinction between large objects and camera movements, high-speed object or camera movements, illumination and flickering of lighting backgrounds, complex editing effects (such as Fragmentation, ripples, deformation, etc.) and other complex situations, the misidentification and missed recognition rates are generally high; due to the large amount of video data and long processing time, the recognition speed of many algorithms is still far from the actual application; the extraction is based on The key to content video retrieval technology, previous research features mainly focus on low-level features such as color, texture, shape, etc., but these features cannot completely and accurately describe the meaning of the image

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