Presentation 2011-02-18
Baseline Approach for Instance Search Task : Local Region-based Face Matching and Regional Combination of Local Features
Duy-Dinh LE, Sebastien POULLOT, Shin'ichi SATOH,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The instance search task is introduced as a pilot task in TRECVID 2010. This task formulates the need of searching by visual examples that is crucial in many video search engines. The system is provided by images and regions of the entity of interest and is required to return a ranked list of 1,000 shots that are likely to contain an instance of the entity. Four targeted entity types, PERSON, CHARACTER, OBJECT and LOCATION, present various query types that users usually perform searching. In this paper, we present an approach that can be considered as the baseline for the instance search task. Our approach uses different feature types for different query types. Specifically, we tested two feature types that have been using widely in face recognition applications for PERSON and CHARACTER queries: pixel intensity extracted around facial feature points and local binary patterns extracted from sub-regions of a face. As for the remaining types of queries such as LOCATION, OBJECT, we tested global features (color), local features (SIFT), and the combination of global and local features. Our system obtained good performance on query types such as PERSON and CHARACTER (ranked 1st), and reasonable performance on the remaining query types such as LOCATION and OBJECT.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) instance search / trecvid, face recognition / local features / color features
Paper # PRMU2010-219
Date of Issue

Conference Information
Committee PRMU
Conference Date 2011/2/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Baseline Approach for Instance Search Task : Local Region-based Face Matching and Regional Combination of Local Features
Sub Title (in English)
Keyword(1) instance search
Keyword(2) trecvid, face recognition
Keyword(3) local features
Keyword(4) color features
1st Author's Name Duy-Dinh LE
1st Author's Affiliation National Institute of Informatics()
2nd Author's Name Sebastien POULLOT
2nd Author's Affiliation National Institute of Informatics
3rd Author's Name Shin'ichi SATOH
3rd Author's Affiliation National Institute of Informatics
Date 2011-02-18
Paper # PRMU2010-219
Volume (vol) vol.110
Number (no) 414
Page pp.pp.-
#Pages 6
Date of Issue