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  1. Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
  2. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5
  3. Issue 3, August 2009
  4. Client-centered multimedia content adaptation
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 10
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 9
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 8
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7S
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 6
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5
Issue 4, October 2009
Issue 3, August 2009
Introduction to the special section for the best papers of ACM multimedia 2008
Fragment, tag, enrich, and send: Enhancing social sharing of video
The big picture on small screens delivering acceptable video quality in mobile TV
Compact and progressive plant models for streaming in networked virtual environments
Client-centered multimedia content adaptation
Design of multimedia surveillance systems
SEVA: Sensor-enhanced video annotation
Multipath live streaming via TCP: Scheme, performance and benefits
Playout buffer and rate optimization for streaming over IEEE 802.11 wireless networks
Issue 2, November 2008
Issue 1, October 2008
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 4
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 3
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 2
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 1

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Client-centered multimedia content adaptation

Content Provider ACM Digital Library
Author Li, Kang Wei, Yong Bhandarkar, Suchendra M.
Copyright Year 2009
Abstract The design and implementation of a client-centered multimedia content adaptation system suitable for a mobile environment comprising of resource-constrained handheld devices or clients is described. The primary contributions of this work are: (1) the overall architecture of the client-centered content adaptation system, (2) a data-driven multi-level Hidden Markov model (HMM)-based approach to perform both video segmentation and video indexing in a single pass, and (3) the formulation and implementation of a Multiple-choice Multidimensional Knapsack Problem (MMKP)-based video personalization strategy. In order to segment and index video data, a video stream is modeled at both the semantic unit level and video program level. These models are learned entirely from training data and no domain-dependent knowledge about the structure of video programs is used. This makes the system capable of handling various kinds of videos without having to manually redefine the program model. The proposed MMKP-based personalization strategy is shown to include more relevant video content in response to the client's request than the existing 0/1 knapsack problem and fractional knapsack problem-based strategies, and is capable of satisfying multiple client-side constraints simultaneously. Experimental results on CNN news videos and Major League Soccer (MLS) videos are presented and analyzed.
Starting Page 1
Ending Page 26
Page Count 26
File Format PDF
ISSN 15516857
e-ISSN 15516865
DOI 10.1145/1556134.1556139
Volume Number 5
Issue Number 3
Journal ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-08-14
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Video personalization Hidden Markov models Multiple choice multidimensional knapsack problem Video indexing
Content Type Text
Resource Type Article
Subject Hardware and Architecture Computer Networks and Communications
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