Titlebook: Computer Analysis of Images and Patterns; 15th International C Richard Wilson,Edwin Hancock,William Smith Conference proceedings 2013 Sprin

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Video Synopsis Based on a Sequential Distortion Minimization Method,y decreasing the potential distortion criterion. Initially, the video is divided into shots and the number of synopsis frames per shot is computed based on a criterion that takes into account the visual content variation. Next, the most “significant” frames are sequentially selected, so that the vis

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Complexity Fusion for Indexing Reeb Digraphs,pe recognition. Since different real valued functions can infer also different Reeb graphs for the same shape, we exploit a set of quasi-orthogonal representations for comparing sets of digraphs which encode the 3D shapes. In order to do so, we fuse complexities. Fused complexities come from computi

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Analysis of Wave Packet Signature of a Graph,tion. The reason for using wave equation is that it provides a richer and potentially more expressive means of characterizing graphs than the more widely studied heat equation. The wave equation on a graph is defined using the Edge-based Laplacian. We commence by defining the eigensystem of the edge

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Hearing versus Seeing Identical Twins, believe they speak differently. Hence we propose to use their voice patterns to distinguish between twins. Voice is a natural signal to produce, and it is a combination of physiological and behavioral biometrics, therefore it is suitable for twin verification. In this paper, we collect an audio-vis

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Evaluating the Impact of Color on Texture Recognition,ture representation is to combine the two visual cues at the pixel level. However, such an approach provides sub-optimal results for texture categorisation task..In this paper we investigate how to optimally exploit color information for texture recognition. We evaluate a variety of color descriptor

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Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups,nts. Thus, we do not depend on 3d reconstruction, foreground segmentation, or accurate detections. We extend further earlier approaches based on . by new low-level image features and similarity measures. . classification in combination with . serve as powerful tools in our approach. Experiments perf

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