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Multimedia data mining and knowledge discovery

Multimedia data mining and knowledge discovery

Material type
단행본
Personal Author
Petrushin, V. A. (Valeri)
Title Statement
Multimedia data mining and knowledge discovery / Valery A. Petrushin and Latifur Khan, eds.
Publication, Distribution, etc
London :   Springer ,   c2007.  
Physical Medium
xxv, 521 p. : ill. ; 24 cm.
ISBN
9781846284366 (hbk.) 1846284368 (hbk.)
Bibliography, Etc. Note
Includes bibliographical references and indexes.
Subject Added Entry-Topical Term
Data mining. Multimedia systems.
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008 060321s2007 enka b 001 0 eng
010 ▼a 2006924373
015 ▼a GBA646804 ▼2 bnb
020 ▼a 9781846284366 (hbk.)
020 ▼a 1846284368 (hbk.)
035 ▼a (KERIS)REF000012996126
040 ▼a UKM ▼c UKM ▼d BAKER ▼d OHX ▼d BWKUK ▼d DLC ▼d 244002
042 ▼a ukscp ▼a lccopycat
050 0 0 ▼a QA76.9.D343 ▼b M85 2007
082 0 4 ▼a 006.7 ▼2 22
090 ▼a 006.7 ▼b M9616
245 0 0 ▼a Multimedia data mining and knowledge discovery / ▼c Valery A. Petrushin and Latifur Khan, eds.
260 ▼a London : ▼b Springer , ▼c c2007.
300 ▼a xxv, 521 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and indexes.
650 0 ▼a Data mining.
650 0 ▼a Multimedia systems.
700 1 ▼a Petrushin, V. A. ▼q (Valeri)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.7 M9616 Accession No. 151228846 Availability Available Due Date Make a Reservation Service C

Contents information

Table of Contents

into Multimedia Data Mining and Knowledge Discovery.- Multimedia Data Mining: An Overview.- Multimedia Data Exploration and Visualization.- A New Hierarchical Approach for Image Clustering.- Multiresolution Clustering of Time Series and Application to Images.- Mining Rare and Frequent Events in Multi-camera Surveillance Video.- Density-Based Data Analysis and Similarity Search.- Feature Selection for Classification of Variable Length Multiattribute Motions.- Multimedia Data Indexing and Retrieval.- FAST: Fast and Semantics-Tailored Image Retrieval.- New Image Retrieval Principle: Image Mining and Visual Ontology.- Visual Alphabets: Video Classification by End Users.- Multimedia Data Modeling and Evaluation.- Cognitively Motivated Novelty Detection in Video Data Streams.- Video Event Mining via Multimodal Content Analysis and Classification.- Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data.- A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects.- Extracting Semantics Through Dynamic Context.- Mining Image Content by Aligning Entropies with an Exemplar.- More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks.- A Data Mining Approach to Expressive Music Performance Modeling.- Applications and Case Studies.- Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering.- A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos.- Multiple-Sensor People Localization in an Office Environment.- Multimedia Data Mining Framework for Banner Images.- Analyzing User’s Behavior on a Video Database.- On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases.- Mining Knowledge in Computer Tomography Image Databases.


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