VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection

Abstract

This paper presents overview and comparative analysis of our systems designed for 3 TRECVID 2009 tasks: high-level feature extraction, automatic search, and content-based copy detection. High-Level Feature Extraction (HLFE): Our main focus for the HLFE task is on the study of a new method named domain adaptive semantic diffusion (DASD) [1], which exploits… (More)

Topics

12 Figures and Tables

Statistics

02040201520162017
Citations per Year

Citation Velocity: 15

Averaging 15 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Ngo2009VIREODVMMAT, title={VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection}, author={Chong-Wah Ngo and Yu-Gang Jiang and Xiao-Yong Wei and Wanlei Zhao and Yang Liu and Jun Wang and Shiai Zhu and Shih-Fu Chang}, year={2009} }