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Video fingerprint method for same content video retrieval

A video fingerprint, the same content technology, applied in the field of video and multimedia signal processing, can solve the problem of adding human visual attention, no human visual perception, etc., to achieve high distinguishing effect

Inactive Publication Date: 2013-03-13
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing spatio-temporal joint method does not include human visual perception, and also does not include human visual attention in the patent application patent No. 201110184477.6 for video copy detection method based on robust hashing.

Method used

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  • Video fingerprint method for same content video retrieval
  • Video fingerprint method for same content video retrieval
  • Video fingerprint method for same content video retrieval

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] figure 1 Provided the frame diagram of the inventive method, according to shown flow process, comprise following concrete steps:

[0032] 1. Video segmentation

[0033] First, the video is fixed as a video sequence of arbitrary W*H size, where W refers to the width of the video frame, and H refers to the height of the video frame. For experimental analysis, here we choose W=144, H=176, where W Refers to the width of the video frame, and H refers to the height of the video frame; secondly, segment the video frame, which can be overlapped or not, according to the robustness requirements in the experiment and considering the frame rate of 30 frames / second, here we choose 30 frames for each part when segmenting, and each adjacent part has 50% overlap.

[0034] 2. Generate a representative image of the video

[0035] The specific generation proc...

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Abstract

The invention discloses a video fingerprint method for same content video retrieval. The robustness and the distinguishability of a video fingerprint extracted by using the method are enhanced and improved immensely. The video fingerprint method comprises the steps of: (1) video segmentation: pre-processing a video into video sequences with fixed size and then segmenting each pre-processed video sequence; (2) video representative figure generation: respectively generating a corresponding time domain information representative figure and a corresponding visual salience representative figure by each video sequence segment; (3) sequence characteristic generation: respectively obtaining sequence characteristics for representing the time domain information representative figures and the visual salience representative figures; (4) binary characteristic sequence generation: respectively generating corresponding binary characteristic sequences of the time domain information representative figure and the visual salience representative figure; and (5) video fingerprint generation: combining the obtained binary characteristic sequences of the time domain information representative figure and the visual salience representative figure, performing corresponding operation as required and finally obtaining a binary sequence which serves as the final video fingerprint.

Description

technical field [0001] The invention relates to a video fingerprint method for video retrieval of the same content, and belongs to the technical field of video and multimedia signal processing. Background technique [0002] With the development of multimedia technology, especially the Internet has become an indispensable part of daily life, video content has become more and more abundant, and pirated videos have also multiplied. In multimedia copyright protection, copyright discriminators need to quickly and effectively detect possible copies from a large amount of multimedia data and determine the ownership of the content, which requires retrieval of videos with the same content, that is, video copy detection. In the retrieval of multimedia objects, it is necessary to analyze and extract features of scenes and segments in videos, and perform similarity matching based on these features, so as to help people quickly and accurately find the multimedia information they need. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00H04N7/26
Inventor 孙建德王静
Owner SHANDONG UNIV
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