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Large-scale video retrieval via semantic classification

Published: 23 October 2006 Publication History

Abstract

Motivated by Google's great success on text document retrieval and recent progresses of semantic video understanding, researchers begin to build new generation of video retrieval systems that are able to support semantic sensitive video retrieval via keywords. Unfortunately, these systems are not able to provide satisfactory results for the masses because of several inter-related challenging problems. We have proposed novel algorithms to resolve some of these problems. Firstly, the salient object based semantic classification algorithm is proposed to extract semantic concepts of video clips. Secondly, the video visualization based interactive retrieval framework is proposed to help users input semantic and visual queries efficiently and effectively. Finally, the concept-oriented skimming algorithm is proposed to help users efficiently check search results.

References

[1]
Jianping Fan, Hangzai Luo, and Ahmed K. Elmagarmid. Concept-oriented indexing of video database toward more effective retrieval and browsing. IEEE Trans. on Image Processing, 13, 2004.
[2]
Jianping Fan, Hangzai Luo, and Yuli Gao. Learning the semantics of images by using unlabeled samples. In IEEE CVPR, San Diego, CA, June 20-26 2005.
[3]
A. Hartmann and R. Lienhart. Automatic classification of images on the web. Proc. SPIE, 4676, 2002.
[4]
B. Li, K. Goh, and E. Chang. Confidence-based dynamic ensamble for image annotation and semantic discovery. ACM Multimedia, 2003.
[5]
Hangzai Luo and Jianping Fan. Concept-oriented video skimming and adaptation via semantic classification (poster paper). In ACM Multimedia Workshop on MIR, New York, October 2004.
[6]
Hangzai Luo, Jianping Fan, Jin Yang, William Ribarsky, and Shin'ichi Satoh. Exploring large-scale video news via interactive visualization. In IEEE VAST 2006, 10 2006.
[7]
Milind R. Naphade and Thomas S. Huang. A probabilistic framework for semantic video indexing, filtering, and retrival. IEEE Trans. on Multimedia, 3(1):141--151, 2001.
[8]
Ying Wu, Qi Tian, and Thomas S. Huang. Discriminantem algorithm with application to image retrieval. IEEE CVPR, June 2000.

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cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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Author Tags

  1. semantic video classification
  2. video visualization

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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