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  1. Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
  2. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 8
  3. Issue 3, July 2012
  4. Sparse transfer learning for interactive video search reranking
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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
Issue 4, November 2012
Issue 3s(Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia), September 2012
Issue 2S(Special Issue on Multimedia Security), September 2012
Issue 3, July 2012
Video streaming using a location-based bandwidth-lookup service for bitrate planning
Automatic evaluation of video summaries
Sparse transfer learning for interactive video search reranking
An information-based dynamic extrapolation model for networked virtual environments
A unified context model for web image retrieval
A control theoretic scheme for efficient video transmission over IEEE 802.11e EDCA WLANs
A joint layered scheme for reliable and secure mobile JPEG-2000 streaming
Issue 2, May 2012
Issue 1S(Special Issue on P2P Streaming), February 2012
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
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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Sparse transfer learning for interactive video search reranking

Content Provider ACM Digital Library
Author Tao, Dacheng Rui, Yong Tian, Xinmei
Copyright Year 2012
Abstract Visual reranking is effective to improve the performance of the text-based video search. However, existing reranking algorithms can only achieve limited improvement because of the well-known semantic gap between low-level visual features and high-level semantic concepts. In this article, we adopt interactive video search reranking to bridge the semantic gap by introducing user's labeling effort. We propose a novel dimension reduction tool, termed sparse transfer learning (STL), to effectively and efficiently encode user's labeling information. STL is particularly designed for interactive video search reranking. Technically, it (a) considers the pair-wise discriminative information to maximally separate labeled query relevant samples from labeled query irrelevant ones, (b) achieves a sparse representation for the subspace to encodes user's intention by applying the elastic net penalty, and (c) propagates user's labeling information from labeled samples to unlabeled samples by using the data distribution knowledge. We conducted extensive experiments on the TRECVID 2005, 2006 and 2007 benchmark datasets and compared STL with popular dimension reduction algorithms. We report superior performance by using the proposed STL-based interactive video search reranking.
Starting Page 1
Ending Page 19
Page Count 19
File Format PDF
ISSN 15516857
e-ISSN 15516865
DOI 10.1145/2240136.2240139
Volume Number 8
Issue Number 3
Journal ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-08-06
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Interactive video search reranking Dimension reduction Sparsity Transfer learning
Content Type Text
Resource Type Article
Subject Hardware and Architecture Computer Networks and Communications
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