Title :
Image search system
Author :
Cho, P. ; Yee, M.
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
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;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-4558-3
DOI :
10.1109/AIPR.2012.6528193
