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Exploration of Visual Data (The International Series in Video Computing) ebook

by Sean Xiang Zhou,Yong Rui,Thomas S. Huang


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 main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines.

by Yong Rui,Thomas S. Huang,Sean Xiang Zhou. by Yong Rui,Thomas S.

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 main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines.

Exploration of Visual Data book. Sean Xiang Zhou, Yong Rui., Thomas S. Huang. Exploration of Visual Data (The International Series in Video Computing). by. 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.

Published September 30, 2003 by Springer.

Xiang Sean Zhou, Yong Rui, Thomas S.

The main objective is to bridge the semantic gap between high-level concep. Xiang Sean Zhou, Yong Rui, Thomas S. Pages 1-4. Overview of Visual Information Representation. Edge-Based Structural Features. Probabilistic Local Structure Models. Constructing Table-of-Content for Videos.

Exploration of Visual Data (The Kluwer International Series in Video Computing). 6000 RUR. A Unified Framework for Video Summarization, Browsing & Retrieval: with Applications to Consumer and Surveillance Video. Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Yong Rui, Thomas S.

Assuming that the input data can be reduced to few simple causes (this is often the case with visual data), according to our theoretical analysis the hidden layer of an FMS-trained AA tends to code each input by a sparse code based on as few simple, independent features as possible.

by Sean Xiang Zhou, Yong Rui, Thomas S. ISBN 9781402075698 (978-1-4020-7569-8) Hardcover, Springer, 2003

by Sean Xiang Zhou, Yong Rui, Thomas S. ISBN 9781402075698 (978-1-4020-7569-8) Hardcover, Springer, 2003. Founded in 1997, BookFinder. Coauthors & Alternates.

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.

Exploration of Visual Data (The International Series in Video Computing) ebook
Author:
Sean Xiang Zhou,Yong Rui,Thomas S. Huang
Category:
Computer Science
Subcat:
EPUB size:
1169 kb
FB2 size:
1363 kb
DJVU size:
1536 kb
Language:
Publisher:
Springer; 2003 edition (September 30, 2003)
Pages:
187 pages
Rating:
4.1
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