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

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

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 w...

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Bibliographic Details
Main Authors: JIANG, Yu-Gang, WEI, Xiaoyong, NGO, Chong-wah, TAN, Hung-Khoon, ZHAO, Wanlei, WU, Xiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
Subjects:
Data Storage Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6642
https://ink.library.smu.edu.sg/context/sis_research/article/7645/viewcontent/Modeling_local_interest_points_for_seman.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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