Video content management method based on semantic hidden indexing

Abstract

The invention discloses a video content management method based on semantic hidden indexing, which ensures that a semantic space table (SST) and video data coexist all the time in the network migration and transmission process by defining the SST and performing integrated semantic indexing on the SST and the video data by an information hiding method. For a video application system (such as an intelligent play and download agent system, a video classification management system, a network management and control system and the like), the SST of the video data is extracted to be subjected to comparative calculation with a semantic request table (SRT) at a destination end, so that the calculation result can help the system to decide a specific processing mode of the video data. The semantic information of the hidden indexing is hard to erase or falsify, so that the semantic information loss of the video data in the secondary transmission process is prevented; and the content video data can be effectively unified and correlated, so that the redundant transmission of data is reduced, and the utilization efficiency of the network is greatly improved. Meanwhile, the video search engine and the other video application systems can be helped to better perform the selection, rejection, abandonment and other operations on the video data, so that the video data in the network space can be transmitted orderly, and the video can be found more efficiently and quickly.

Description

technical field [0001] The invention belongs to the technical field of video content management, and more specifically relates to a video content management method based on semantic hidden indexing. Background technique [0002] In addition to traditional cable TV, terrestrial TV, and satellite video, Internet video data is growing rapidly at present, and online video has become an important medium for people to obtain digital content such as movies, TV, and videos, accounting for the vast majority of traffic on the Internet. According to the 27th China Internet Development Report released by China Internet Network Information Center (CNNIC), as of December 2010, domestic online video users reached 284 million, and the penetration rate among Internet users reached 62.1%. Compared with the end of December 2009, The number of online video users increased by 43.54 million, an annual growth rate of 18.1%. The proportion of watching videos online increased rapidly, accounting fo...

AI Technical Summary

Problems solved by technology

[0019] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a video content management method based on semantic hidden indexing to solve the problem that the semantic indexing is not robust enough and the resulting semantic indexing information is easy to be reorganized, Retrieval and the problem of flooding video data redundancy on the Internet

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