An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
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
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection
IEEE Transactions on Image Processing
Video fingerprinting based on orientation of luminance centroid
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Scalable clip-based near-duplicate video detection with ordinal measure
Proceedings of the ACM International Conference on Image and Video Retrieval
Compact video description for copy detection with precise temporal alignment
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Handling urban location recognition as a 2D homothetic problem
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Product Quantization for Nearest Neighbor Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering
IEEE Transactions on Multimedia
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We describe an accurate content-based copy detection system that uses both local and global visual features to ensure robustness. Our system advances state-of-the-art techniques in four key directions. (1) Multiple-codebook-based product quantization: conventional product quantization methods encode feature vectors using a single codebook, resulting in large quantization error. We propose a novel codebook generation method for an arbitrary number of codebooks. (2) Handling of temporal burstiness: for a stationary scene, once a query feature matches incorrectly, the match continues in successive frames, resulting in a high false-alarm rate. We present a temporal-burstiness-aware scoring method that reduces the impact from similar features, thereby reducing false alarms. (3) Densely sampled SIFT descriptors: conventional global features suffer from a lack of distinctiveness and invariance to non-photometric transformations. Our densely sampled global SIFT features are more discriminative and robust against logo or pattern insertions. (4) Bigram- and multiple-assignment-based indexing for global features: we extract two SIFT descriptors from each location, which makes them more distinctive. To improve recall, we propose multiple assignments on both the query and reference sides. Performance evaluation on the TRECVID 2009 dataset indicates that both local and global approaches outperform conventional schemes. Furthermore, the integration of these two approaches achieves a three-fold reduction in the error rate when compared with the best performance reported in the TRECVID 2009 workshop.