Image search system

Author

Cho, P. ; Yee, M.

Author_Institution

MIT Lincoln Lab., Lexington, MA, USA

fYear

2012

fDate

9-11 Oct. 2012

Firstpage

1

Lastpage

7

Abstract

We present a prototype system which enables users to explore the global structure for digital imagery archives as well as drill-down into individual pictures. Our search engine builds upon computer vision advances made over the past decade in low-level feature matching, large data handling and object recognition. We demonstrate hierarchical clustering among images semi-cooperatively shot around MIT, automatic linking of flickr photos and aerial frames from the Grand Canyon, and video segment identification for a TV broadcast. Moreover, our software tools incorporate visible vs infrared band selection, color content quantization and human face detection. Ongoing and future extensions of this image search system are discussed.

Keywords

computer vision; face recognition; image colour analysis; image matching; image segmentation; information retrieval systems; object recognition; pattern clustering; quantisation (signal); search engines; video retrieval; video signal processing; Grand Canyon; MIT; TV broadcast; automatic aerial frame linking; automatic flickr photo linking; color content quantization; computer vision; data handling; feature matching; global digital imagery structure; global structure; hierarchical clustering; human face detection; image search system; infrared band selection; object recognition; picture archiving; prototype system; search engine; software tools; video segment identification; visible band selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE

Conference_Location

Washington, DC

ISSN

1550-5219

Print_ISBN

978-1-4673-4558-3

Type

conf

DOI

10.1109/AIPR.2012.6528193

Filename

6528193