Modeling local interest points for semantic detection and video search at TRECVID 2006

Author

Yu-Gang JIANG
Xiaoyong WEI
Chong-wah NGO, Singapore Management UniversityFollow
Hung-Khoon TAN
Wanlei ZHAO
Xiao WU

Publication Type

Conference Paper

Version

publishedVersion

Publication Date

11-2006

Abstract

Local interest points (LIPs) and their features have been shown to obtain surprisingly good results in object detection and recognition. Its effectiveness and scalability, however, have not been seriously addressed in large-scale multimedia database, for instance TRECVID benchmark. The goal of our works is to investigate the role and performance of LIPs, when coupling with multi-modality features, for high-level feature extraction and automatic video search.

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

TREC Video Retrieval Evaluation, TRECVID 2006, Gaithersburg, November 13-14

Publisher

IEEE

City or Country

Gaithersburg

Citation

JIANG, Yu-Gang; WEI, Xiaoyong; NGO, Chong-wah; TAN, Hung-Khoon; ZHAO, Wanlei; and WU, Xiao. Modeling local interest points for semantic detection and video search at TRECVID 2006. (2006). TREC Video Retrieval Evaluation, TRECVID 2006, Gaithersburg, November 13-14.
Available at: https://ink.library.smu.edu.sg/sis_research/6642

Creative Commons License

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