Exploration of Visual Data
Produktnummer:
18c1810d46886041b6bc8bb38cf2a72372
Autor: | Huang, Thomas S. Xiang Zhou, Sean Yong Rui |
---|---|
Themengebiete: | Boosting Computer Vision Image segmentation Information Layout Multimedia Textur algorithms classification information system |
Veröffentlichungsdatum: | 30.09.2003 |
EAN: | 9781402075698 |
Sprache: | Englisch |
Seitenzahl: | 187 |
Produktart: | Gebunden |
Verlag: | Springer US |
Produktinformationen "Exploration of Visual Data"
Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines.The two key issues emphasized are "content-awareness" and "user-in-the-loop". 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 low-level visual features to facilitate more effective access of multimedia data.Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.

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