Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Photo-based question answering
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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This paper proposes a new retrieval problem and conducts the initial study. This problem aims at finding the location of an item in a supermarket by means of visual retrieval. It is modelled as object-based retrieval and approached using the local invariant features. Two existing retrieval methods are investigated and their similarity measures are modified to better fit this new problem. More importantly, through the study this new retrieval problem proves itself to be a challenging task. An instant application of it is to help the customer find what they want without physically wandering around the shelves but a wide range of potential applications could be expected.