Method for retrieving video data on basis of feature fusion
A technology of video data and feature fusion, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve problems such as unsatisfactory accuracy, and achieve the effect of improving retrieval accuracy and improving accuracy.
Inactive Publication Date: 2013-11-27
NORTHWESTERN POLYTECHNICAL UNIV
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However, the accuracy of this method is not satisfactory. Recently, a video data feature based on human brain cognition was proposed and used in video data retrieval, which achieved better results than traditional video data features.
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[0023] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:
[0024] The hardware environment used for implementation is: AMD Athlon 64×2 5000+ computer, 2GB memory, 256M graphics card, and the running software environment is: Matlab2009a and Windows XP. We have realized the method that the present invention proposes with Matlab software.
[0025] The flow chart of the present invention is attached figure 1 As shown, the specific implementation is as follows:
[0026] 1. Calculate the two features X of N=1256 video data respectively 1 ,X 2 ,...,X N and Y 1 ,Y 2 ,...,Y N The Laplacian matrix L 1 and L 2 . x 1 ,X 2 ,...,X N Represents the first feature of the 1st, 2nd and N video data; Y 1 ,Y 2 ,...,Y N Represents the second feature of the 1st, 2nd and Nth video data. The 1256 video data include three categories, namely: 561 sports video data, 364 weather forecast video data and 331 advertising video data. T...
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The invention relates to a method for retrieving video data on the basis of feature fusion. The method includes computing Laplacian matrixes of features of different types of the video data; fusing the Laplacian matrixes to obtain a combined Laplacian matrix; extracting feature values and feature vectors of the combined Laplacian matrix; finding out the feature vectors corresponding to the front M maximum feature values; computing similarity matrixes of the feature vectors corresponding to the front M maximum feature values; acquiring a score of each video datum by the aid of the similarity matrixes for each searched target video datum; sorting the video data according to the scores of the video data from high to low; counting the quantity of the video data which are of the type the same with the target video data in the front multiple sorted video data; computing the retrieval accuracy. The method has the advantages that the features of the various video data can be retrieved in a fused manner by the method, and the fused retrieval accuracy is greatly improved as compared with the retrieval accuracy obtained before the Laplacian matrixes are fused.
Description
technical field [0001] The invention relates to a video data retrieval method based on feature fusion, which can be applied to the retrieval of different types of video data. Background technique [0002] With the explosive growth of digital multimedia data, the amount of video data on the network is increasing day by day. How to use computers to accurately retrieve the video data that users like from the massive video data is becoming more and more important. Traditional video data retrieval methods mainly distinguish video categories based on the underlying visual features of video data such as color, shape, and texture, and find out the type of video data that users expect from a large amount of video data. However, the accuracy of this method is not satisfactory. Recently, a video data feature based on human brain cognition was proposed and used in video data retrieval, which achieved better results than traditional video data features. This feature comes from the magne...
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IPC IPC(8): G06F17/30
Inventor 韩军伟吉祥郭雷胡新韬
Owner NORTHWESTERN POLYTECHNICAL UNIV