NDLI: Unsupervised auxiliary visual words discovery for large-scale image object retrieval

Content Provider	IEEE Xplore Digital Library
Author	Yin-Hsi Kuo Hsuan-Tien Lin Wen-Huang Cheng Yi-Hsuan Yang Hsu, W.H.
Copyright Year	2011
Description	Author affiliation: National Taiwan University, Taipei, Taiwan (Yin-Hsi Kuo; Hsuan-Tien Lin; Yi-Hsuan Yang; Hsu, W.H.) \|\| Academia Sinica, Taipei, Taiwan (Wen-Huang Cheng)
Abstract	Image object retrieval–locating image occurrences of specific objects in large-scale image collections–is essential for manipulating the sheer amount of photos. Current solutions, mostly based on bags-of-words model, suffer from low recall rate and do not resist noises caused by the changes in lighting, viewpoints, and even occlusions. We propose to augment each image with auxiliary visual words (AVWs), semantically relevant to the search targets. The AVWs are automatically discovered by feature propagation and selection in textual and visual image graphs in an unsupervised manner. We investigate variant optimization methods for effectiveness and scalability in large-scale image collections. Experimenting in the large-scale consumer photos, we found that the the proposed method significantly improves the traditional bag-of-words (111% relatively). Meanwhile, the selection process can also notably reduce the number of features (to 1.4%) and can further facilitate indexing in large-scale image object retrieval.
Starting Page	905
Ending Page	912
File Size	4565897
Page Count	8
File Format	PDF
ISBN	9781457703942
ISSN	10636919
e-ISBN	9781457703959
DOI	10.1109/CVPR.2011.5995639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Semantics Noise measurement Logic gates Vocabulary Accuracy Histograms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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