DocumentCode :
2057387
Title :
NII-KAORI-PERSON-SEARCH: A General Framework for Indexing and Retrieving People´s Appearance in Large Video Archives
Author :
Le, Duy-Dinh ; Ngo, Thanh Duc ; Satoh, Shin´ichi
Author_Institution :
Nat. Inst. of Inf., Tokyo, Japan
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
211
Lastpage :
212
Abstract :
We introduce a general framework to index and retrieve people´s appearance using their faces and names. All frontal faces are extracted from video programs and are grouped into clusters using temporal and visual information. These clusters are annotated by a semi-supervised method in which users help to annotate a small number of faces, and correct annotations suggested by the system. Once faces are annotated, users can search people by names or exemplar faces. In addition, trends of people´s appearance and correlation between these trends in time space can be observed. We demonstrate such system for approximately 2,000 hours of videos broadcast by NHK Japan in 11 years from Mar 2001 to Mar 2011.
Keywords :
face recognition; feature extraction; indexing; video retrieval; NII-KAORI-PERSON-SEARCH; frontal face extraction; people appearance indexing; people appearance retrieving; video archives; Correlation; Data mining; Detectors; Electronic mail; Face recognition; Indexing; Search engines; face name association; face retrieval; large scale video indexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
Type :
conf
DOI :
10.1109/ICSC.2011.90
Filename :
6061333
Link To Document :
بازگشت