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With the development of Internet and computer technology, the digital videos increase explosively, so how to get the interesting video clips from the massive video dataset quickly and efficiently has become an urgent problem in the field of information retrieval (IR). In this paper, a new Instance-based video search (INS) engine is proposed to solve the urgent problem. Firstly, video key-frames are...
In order to solve the view redundant problem in existing research work, we propose an approach based on a single view for 3D model shape feature measuring, and the similarity between models is calculated through dynamic programming algorithm. This method implements single view feature description and shape matching for 3D model. The algorithm is composed of three steps: Firstly, the pose of a 3D model...
Recently, spatial principal component analysis of census transform histograms (PACT) was proposed to recognize instance and categories of places or scenes in an image. When combining PACT with Local difference Magnitude Binary Pattern (LMBP), a new representation called Local Difference Binary Pattern (LDBP) was proposed and performed better. LDBP is based on the comparisons between center pixel and...
Traditional image retrieval depends on the images embedded in text messages, text description of the limitations of image content, resulting in low quality of image retrieval. The local information extracted image itself, the use of local features LSH image matching algorithm, memory requirements has led to a linear growth. To overcome these shortcomings, then propose the method of image retrieval...
Most of the algorithms for evaluating image scrambling degree depend on the plain image and they cannot achieve blind evaluation. This paper indicates that the ideal scrambled image is similar to the uniform noise in spatial domain, advances a definition of ideal image scrambling which is independent of the plain image and designs a new evaluating index. In frequency domain, the gray relational degree,...
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