Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
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
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
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
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of GIST descriptors for web-scale image search
Proceedings of the ACM International Conference on Image and Video Retrieval
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
Asymmetric distances for binary embeddings
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Hamming embedding similarity-based image classification
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Binary SIFT: towards efficient feature matching verification for image search
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Scalar quantization for large scale image search
Proceedings of the 20th ACM international conference on Multimedia
Efficient image signatures and similarities using tensor products of local descriptors
Computer Vision and Image Understanding
Signature matching distance for content-based image retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Topology preserving hashing for similarity search
Proceedings of the 21st ACM international conference on Multimedia
Spatially aware feature selection and weighting for object retrieval
Image and Vision Computing
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This paper proposes an asymmetric Hamming Embedding scheme for large scale image search based on local descriptors. The comparison of two descriptors relies on an vector-to-binary code comparison, which limits the quantization error associated with the query compared with the original Hamming Embedding method. The approach is used in combination with an inverted file structure that offers high efficiency, comparable to that of a regular bag-of-features retrieval system. The comparison is performed on two popular datasets. Our method consistently improves the search quality over the symmetric version. The trade-off between memory usage and precision is evaluated, showing that the method is especially useful for short binary signatures.