Title
Exploration of Visual Data (The International Series in Video Computing, 7),Used
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Exploration of Visual Data presents latest research efforts in the area of contentbased exploration of image and video data. The main objective is to bridge the semantic gap between highlevel concepts in the human mind and lowlevel features extractable by the machines.The two key issues emphasized are "contentawareness" and "userintheloop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and lowlevel visual features to facilitate more effective access of multimedia data.Exploration of Visual Data provides stateoftheart materials on the topics of contentbased description of visual data, contentbased lowbitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.
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