Video Mining / Edition 1

Video Mining / Edition 1

by Azriel Rosenfeld
     
 

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ISBN-10: 1441953833

ISBN-13: 9781441953834

Pub. Date: 12/02/2010

Publisher: Springer US

Expansions of 11 selected papers explore recent developments in applying theories and techniques of data mining—discovering and describing patterns of interest in data—to data consisting of video sequences, with or without an audio component. Contributors from various industries and universities, mostly in the US, consider video browsing using multiple

Overview

Expansions of 11 selected papers explore recent developments in applying theories and techniques of data mining—discovering and describing patterns of interest in data—to data consisting of video sequences, with or without an audio component. Contributors from various industries and universities, mostly in the US, consider video browsing using multiple synchronized views; the physical setting as a video mining primitive; temporal video boundaries; video summarization using activity and audio descriptors; content analysis using multimodal information; video categorization using semantics and semiotics; and other topics. Annotation ©2003 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9781441953834
Publisher:
Springer US
Publication date:
12/02/2010
Series:
The International Series in Video Computing, #6
Edition description:
Softcover reprint of hardcover 1st ed. 2003
Pages:
340
Product dimensions:
6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

1. Efficient Video Browsing; A. Amir, S. Srinivasan, D. Ponceleon. 2. Beyond Key-Frames: The Physical Setting as a Video Mining Primitive; A. Aner-Wolf, J.R. Kender. 3. Temporal Video Boundaries; N. Dimitrova, L. Agnihotri, R. Jasinschi. 4. Video Summarization using MPEG-7 Motion Activity and Audio Descriptors; A. Divakaran, K.A. Peker, R. Radhakrishnan, Ziyou Xiong, R. Cabasson. 5. Movie Content Analysis, Indexing and Skimming Via Multimodal Information; Ying Li, S. Narayanan, C.-C. Jay Kuo. 6. Video OCR: A Survey and Practitioner's Guide; R. Lienhart. 7. Video Categorization Using Semantics and Semiotics; Z. Rasheed, M. Shah. 8. Understanding the Semantics of Media; M. Slaney, D. Ponceleon, J. Kaufman. 9. Statistical Techniques for Video Analysis and Searching; J.R. Smith, Ching-Yung Lin, M. Naphade, A. (Paul) Natsev, B. Tseng. 10. Mining Statistical Video Structures; Lexing Xie, Shih-Fu Chang, A. Divakaran, Huifang Sun. 11. Pseudo-Relevance Feedback for Multimedia Retrieval; Rong Yan, A.G. Hauptmann, Rong Jin. Index.

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