DocumentCode :
1798782
Title :
OBSIR: Object-based stereo image retrieval
Author :
Xiangyang Xu ; Wenjing Geng ; Ran Ju ; Yang Yang ; Tongwei Ren ; Gangshan Wu
Author_Institution :
State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
Recent years, the stereo image has become an emerging media in the field of 3D technology, which leads to an urgent demand of stereo image retrieval. In this paper, we attempt to introduce a framework for object-based stereo image retrieval (OBSIR), which retrieves images containing the similar objects to the one captured in the query image by the user. The proposed approach consists of both online and offline procedures. In the offline procedure, we propose a salient object segmentation method making use of both color and depth to extract objects from each image. The extracted objects are then represented by multiple visual feature descriptors. In order to improve the image search efficiently, we construct an approximate nearest neighbor (ANN) index using cluster-based locality sensitive hashing (LSH). In the online stage, the user may supply the query object by selecting a region of interest (ROI) in the query image, or clicking one of the objects recommended by the salient object detector. For the image retrieval evaluation we build a new dataset containing over 10K stereo images. The experiments on this dataset show that the proposed method can effectively recommend the correct object and the final retrieval result is also better than other baseline methods.
Keywords :
image retrieval; image segmentation; object detection; stereo image processing; 3D technology; ANN index; LSH; OBSIR; ROI; approximate nearest neighbor; baseline methods; image search; locality sensitive hashing; media; multiple visual feature descriptors; object based stereo image retrieval; object extraction; offline procedures; online procedures; query image; query object; region of interest; salient object detector; salient object segmentation method; stereo images; Feature extraction; Image color analysis; Image retrieval; Image segmentation; Object segmentation; Search problems; Visualization; Stereo image retrieval; object retrieval; query object recommendation; salient object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/ICME.2014.6890137
Filename :
6890137
Link To Document :
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