Title :
Focused color intersection with efficient searching for object detection and image retrieval
Author :
Vinod, V.V. ; Murase, Hiroshi ; Hashizume, Chie
Author_Institution :
NTT Basic Res. Labs., Kanagawa, Japan
Abstract :
Similarity of color histograms is an important cue for detecting colored objects in complex scenes. It is employed in several applications such as image retrieval, object detection, tracking, etc. Focused color intersection efficiently matches the model against parts of the scene using histogram intersection. We propose an upper bound pruning technique which increases the efficiency of searching for a match by concentrating on more promising regions in the image
Keywords :
image colour analysis; image matching; image segmentation; multimedia computing; object detection; query processing; tree searching; visual databases; color histogram similarity; complex scenes; focused color intersection; histogram intersection; image database; image matching; image regions; image retrieval; object detection; searching; tracking; upper bound pruning technique; Content based retrieval; Focusing; Histograms; Image resolution; Image retrieval; Indexing; Layout; Object detection; Pixel; Upper bound;
Conference_Titel :
Multimedia Computing and Systems, 1996., Proceedings of the Third IEEE International Conference on
Conference_Location :
Hiroshima
Print_ISBN :
0-8186-7438-5
DOI :
10.1109/MMCS.1996.534980