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System and method for parallel video copy detection

A video copy detection and video technology, applied in image data processing, special data processing applications, instruments, etc., can solve the problems of inaccurate retrieval results, low operating efficiency, and not being widely used

Inactive Publication Date: 2012-09-26
XI AN JIAOTONG UNIV
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Problems solved by technology

However, the retrieval results of these methods are not accurate enough on large databases, and the operating efficiency is not high, so these video retrieval and video copy detection technologies have not been widely used.
Although researchers have proposed a variety of video copy detection methods, how to quickly and effectively detect video copy is still an unsolved problem due to the diversity of video formats and contents.

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  • System and method for parallel video copy detection
  • System and method for parallel video copy detection
  • System and method for parallel video copy detection

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Embodiment Construction

[0072] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0073] Such as figure 1 The system frame diagram of the parallel video copy detection is shown, and the parallel video copy detection system is divided into two subsystems: an offline subsystem and an online subsystem. The processing object of the offline subsystem is the target video library, and generates the inverted index table required for the query of the online subsystem. The online subsystem mainly completes the query process of the query video in the target video library.

[0074] The processing object of the offline subsystem is the reference video library, which performs key frame extraction, image feature extraction, cluster analysis of feature vectors, quantification of feature vectors to visual vocabulary, and generates visual vocabulary and feature information for the videos in...

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Abstract

The invention discloses a system and a method for parallel video copy detection. The method includes the steps of 1, selecting key-frames of a query video and a reference video by a parallel method and extracting MIFT features of the key-frames; 2, clustering extracted feature data of the reference video by a parallel hierarchical clustering method; 3, quantizing the features of the query video and the reference video by a quantitative method according to clustered results; 4, establishing indexes of quantized data of the reference video; and 5, retrieving by the parallel method, preliminarily searching in the indexes to obtain an alternative video by utilizing quantized data of the query video and then computing space consistency and time consistency to finally confirm a copy video. According to the system for parallel video copy detection, a parallel mechanism is adopted on the basis of fast retrieval of visual vocabulary bag model BOF (beginning of file), and accordingly detection efficiency of the system is improved greatly.

Description

technical field [0001] The invention belongs to the technical field of video copy detection, and relates to a parallel video copy detection system and method. Background technique [0002] In recent years, the rapid development of computer technology and communication technology has greatly facilitated the transmission, storage and duplication of digital video information, resulting in a rapid increase in the amount of video information. This poses a great challenge to the solution of video content management and retrieval. Furthermore, a copied video may not be an exact copy of the original video but an altered version of the original video. The task of video copy detection is to find and determine the content segment of the query video that has been copied or modified in a reference video library. Video copy detection technology has important uses in visual information processing, such as finding copy segments of multimedia content, retrieving related videos through samp...

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Application Information

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IPC IPC(8): G06F17/30G06T7/20
Inventor 廖开阳刘贵忠乔珍刘超腾肖莉
Owner XI AN JIAOTONG UNIV
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