Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Inverted files versus signature files for text indexing
ACM Transactions on Database Systems (TODS)
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
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Scalability of local image descriptors: a comparative study
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
Incremental indexing and distributed image search using shared randomized vocabularies
Proceedings of the international conference on Multimedia information retrieval
Emotion related structures in large image databases
Proceedings of the ACM International Conference on Image and Video Retrieval
Learning pre-attentive driving behaviour from holistic visual features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Semi-automatic flickr group suggestion
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
NV-Tree: nearest neighbors at the billion scale
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
International Journal of Computer Vision
Simple low-dimensional features approximating NCC-based image matching
Pattern Recognition Letters
Evaluation of global descriptors for large scale image retrieval
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Asymmetric hamming embedding: taking the best of our bits for large scale image search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Learning vocabulary-based hashing with adaboost
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
High-confidence near-duplicate image detection
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
CARE: content aware redundancy elimination for challenged networks
Proceedings of the 11th ACM Workshop on Hot Topics in Networks
Leafsnap: a computer vision system for automatic plant species identification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Efficient mining of repetitions in large-scale TV streams with product quantization hashing
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
An efficient parallel strategy for matching visual self-similarities in large image databases
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Translating related words to videos and back through latent topics
Proceedings of the sixth ACM international conference on Web search and data mining
Interactive social group recommendation for Flickr photos
Neurocomputing
Indexing and searching 100M images with map-reduce
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
LSH-based large scale chinese calligraphic character recognition
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Classifying images at scene level: comparing global and local descriptors
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Enabling low bitrate mobile visual recognition: a performance versus bandwidth evaluation
Proceedings of the 21st ACM international conference on Multimedia
SigMal: a static signal processing based malware triage
Proceedings of the 29th Annual Computer Security Applications Conference
Saliency-Based region log covariance feature for image copy detection
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Multiple feature kernel hashing for large-scale visual search
Pattern Recognition
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The GIST descriptor has recently received increasing attention in the context of scene recognition. In this paper we evaluate the search accuracy and complexity of the global GIST descriptor for two applications, for which a local description is usually preferred: same location/object recognition and copy detection. We identify the cases in which a global description can reasonably be used. The comparison is performed against a state-of-the-art bag-of-features representation. To evaluate the impact of GIST's spatial grid, we compare GIST with a bag-of-features restricted to the same spatial grid as in GIST. Finally, we propose an indexing strategy for global descriptors that optimizes the trade-off between memory usage and precision. Our scheme provides a reasonable accuracy in some widespread application cases together with very high efficiency: In our experiments, querying an image database of 110 million images takes 0.18 second per image on a single machine. For common copyright attacks, this efficiency is obtained without noticeably sacrificing the search accuracy compared with state-of-the-art approaches.