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Video mining

Video mining

Material type
단행본
Personal Author
Rosenfeld, Azriel, 1931-. Doermann, David S. (David Scott). DeMenthon, Daniel.
Title Statement
Video mining / edited by Azriel Rosenfeld, David Doermann, Daniel DeMenthon.
Publication, Distribution, etc
Boston :   Kluwer Academic,   c2003.  
Physical Medium
viii, 340 p. : ill. ; 25 cm.
Series Statement
The Kluwer international series in video computing
ISBN
1402075499
General Note
Expansions of selected papers that were presented at the DIMACS Workshop on Video Mining, held November 4-6, 2002 at Rutgers University in Piscataway, NJ.  
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Multimedia data mining --Congresses.
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001 000045912480
005 20170818180231
008 170817s2003 maua b 101 0 eng d
010 ▼a 2003054989
020 ▼a 1402075499
035 ▼a (KERIS)REF000007360171
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a QA76.9.D343 ▼b D56 2002
082 0 0 ▼a 006.3 ▼2 23
084 ▼a 006.3 ▼2 DDCK
090 ▼a 006.3 ▼b V652
245 0 0 ▼a Video mining / ▼c edited by Azriel Rosenfeld, David Doermann, Daniel DeMenthon.
260 ▼a Boston : ▼b Kluwer Academic, ▼c c2003.
300 ▼a viii, 340 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a The Kluwer international series in video computing
500 ▼a Expansions of selected papers that were presented at the DIMACS Workshop on Video Mining, held November 4-6, 2002 at Rutgers University in Piscataway, NJ.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Multimedia data mining ▼v Congresses.
700 1 ▼a Rosenfeld, Azriel, ▼d 1931-.
700 1 ▼a Doermann, David S. ▼q (David Scott).
700 1 ▼a DeMenthon, Daniel.
711 2 ▼a DIMACS Workshop on Video Mining ▼d (2002 : ▼c Rutgers University).
830 0 ▼a Kluwer international series in video computing.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.3 V652 Accession No. 111777392 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Contents
1. Efficient Video Browsing
2. Beyond Key-Frames: The Physical Setting as a Video Mining Primitive
3. Temporal Video Boundaries
4. Video Summarization using MPEG-7 Motion Activity and Audio Descriptors
5. Movie Content Analysis, Indexing and Skimming Via Multimodal Information
6. Video OCR: A Survey and Practitioner''s Guide
7. Video Categorization Using Semantics and Semiotics
8. Understanding the Semantics of Media
9. Statistical Techniques for Video Analysis and Searching
10. Mining Statistical Video Structures
11. Pseudo-Relevance Feedback for Multimedia Retrieval
Index.

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