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Video retrieval method and device
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A video and video frame technology, applied in the field of video processing, can solve problems such as affecting the accurate retrieval of target video, unable to provide video frame color feature information, etc.
Inactive Publication Date: 2015-04-08
BEIJING QIYI CENTURY SCI & TECH CO LTD
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However, the difference in pixel values between video frames can only reflect the variation of pixel values between two video frames, but cannot provide color feature information of video frames, which affects the accurate retrieval of target videos
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example 1
[0098] Example one: Figure 4 is the first diagram that divides a video frame into image blocks. It can be seen from this illustration that a video frame is divided into four image blocks: image block 1, image block 2, image block 3, and image block 4. Assume that the first The preset weighting coefficient is (1,-1), the second preset weighting coefficient is (1,-1), M=16, then
[0099] A. According to the first preset weighting coefficient, the statistical values corresponding to the 16-dimensional color histograms of image block 1 and image block 2 are merged into a 16-dimensional color histogram H according to the following relational expressions respectively 1 For the corresponding statistical value, the statistical value corresponding to the 16-dimensional color histogram of image block 3 and image block 4 is merged into a 16-dimensional color histogram H 2 The corresponding statistical value,
[0100] h 1 (j)=|H pic1 (j)-H pic2 (j)|,
[0101] h 2 (j)=|H pic3 (j...
example 2
[0106] Example two: Figure 5 It is the second diagram that divides the video frame into image blocks. It can be seen from the diagram that the video frame is divided into image block 5, image block 6 ... image block 15, image block 16, a total of 12 image blocks, assuming the first One preset weighting coefficient is (1, -1, -1, 1), the second preset weighting coefficient is (1, -2, 1), M=16, then
[0107] C. According to the first preset weighting coefficient, according to the following relational formula respectively,
[0108] Merge the statistical values corresponding to the 16-dimensional color histograms of image block 5 to image block 8 into a 16-dimensional color histogram H 4 corresponding statistics;
[0109] Merge the statistical values corresponding to the 16-dimensional color histograms of image block 9 to image block 12 into a 16-dimensional color histogram H 5 corresponding statistics;
[0110] Merge the statistical values corresponding to the 16-dimen...
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Abstract
An embodiment of the invention discloses a video retrieval method and device and relates to the technical field of video processing. The method comprises receiving video retrieval requirements on account of target video; extracting characteristic information of the target video according to video data of the target video; matching the extracted characteristic information with preset characteristic information of video contained in a video database to obtain video matched with the target video. The extraction of characteristic information comprises extracting a plurality of video frames from the target video; dividing all the extracted video frames into the same number of image blocks; obtaining calculated values corresponding to M-dimension color histograms of all image blocks obtained through division respectively; generating characteristic information of the target video according to the obtained calculated values. By using the scheme provided by the embodiment, effective color characteristic information can be provided for video retrieval.
Description
technical field [0001] The invention relates to the technical field of video processing, in particular to a video retrieval method and device. Background technique [0002] Videos are popular among users because of their large amount of information and rich content. However, precisely because the video has the above-mentioned characteristics, how to effectively analyze the video, and then efficiently perform operations such as video retrieval has become a prominent problem in practical applications. [0003] In the prior art, the video features of the target video are generally extracted first, and then the retrieval of the target video is realized by analyzing the extracted video features. Wherein, the video feature generally refers to information that can represent main features or important features of the video. [0004] Commonly, the difference between the pixel values of pixels at corresponding positions between video frames is used as the feature value of the targ...
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