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Intelligent Multimedia Processing with Soft Computing (Studies in Fuzziness and
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About this item
Seller assumes all responsibility for this listing.
eBay item number:406408036060
Item specifics
- Condition
- subject_code
- UYQ
- gpsr_safety_attestation
- true
- target_audience
- College/University
- is_adult_product
- false
- edition_number
- 1
- binding
- paperback
- edition
- Softcover reprint of hardcover 1st ed. 2005
- series_number
- 168
- MPN
- Refer to Sapnet.
- batteries_required
- false
- manufacturer
- Springer
- volume
- 168
- Brand
- Springer
- series_title
- Studies in Fuzziness and Soft Computing
- number_of_items
- 1
- pages
- 484
- ships_globally
- false
- genre
- Information technology: general issues
- part_number
- Refer to Sapnet.
- publication_date
- 2010-12-15T00:00:01Z
- unspsc_code
- 55101500
- batteries_included
- false
- ISBN
- 9783642061981
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642061982
ISBN-13
9783642061981
eBay Product ID (ePID)
109004442
Product Key Features
Number of Pages
VIII, 473 Pages
Publication Name
Intelligent Multimedia Processing with Soft Computing
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, Data Processing, Interactive & Multimedia, Applied, Enterprise Applications / General
Publication Year
2010
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Studies in Fuzziness and Soft Computing Ser.
Format
Trade Paperback
Dimensions
Item Weight
26 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
Series Volume Number
168
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.7
Table Of Content
Human-Centered Computing for Image and Video Retrieval.- Vector Color Image Indexing and Retrieval within A Small-World Framework.- A Perceptual Subjectivity Notion in Interactive Content-Based Image Retrieval Systems.- A Scalable Bootstrapping Framework for Auto-Annotation of Large Image Collections.- Moderate Vocabulary Visual Concept Detection for the TRECVID 2002.- Automatic Visual Concept Training Using Imperfect Cross-Modality Information.- Audio-Visual Event Recognition with Application in Sports Video.- Fuzzy Logic Methods for Video Shot Boundary Detection and Classification.- Rate-Distortion Optimal Video Summarization and Coding.- Video Compression by Neural Networks.- Knowledge Extraction in Stereo Video Sequences Using Adaptive Neural Networks.- An Efficient Genetic Algorithm for Small Search Range Problems and Its Applications.- Manifold Learning and Applications in Recognition.- Face Recognition Using Discrete Cosine Transform and RBF Neural Networks.- Probabilistic Reasoning for Closed-Room People Monitoring.- Human-Machine Communication by Audio-Visual Integration.- Probabilistic Fusion of Sorted Score Sequences for Robust Speaker Verification.- Adaptive Noise Cancellation Using Online Self-Enhanced Fuzzy Filters with Applications to Multimedia Processing.- Image Denoising Using Stochastic Chaotic Simulated Annealing.- Soft Computation of Numerical Solutions to Differential Equations in EEG Analysis.- Providing Common Time and Space in Distributed AV-Sensor Networks by Self-Calibration.
Synopsis
Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.
LC Classification Number
QA76.76.A65
Item description from the seller
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