Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
An efficient parts-based near-duplicate and sub-image retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Scalable near identical image and shot detection
Proceedings of the 6th ACM international conference on Image and video retrieval
Clustering near-duplicate images in large collections
Proceedings of the international workshop on Workshop on multimedia information retrieval
The relative potential field as a novel physics-inspired method for image analysis
WSEAS Transactions on Computers
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Image retrieval systems based on compact shape descriptor and relevance feedback information
Journal of Visual Communication and Image Representation
Dynamic two-stage image retrieval from large multimodal databases
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Content based image retrieval using visual-words distribution entropy
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Video summarization using a self-growing and self-organized neural gas network
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Dynamic two-stage image retrieval from large multimedia databases
Information Processing and Management: an International Journal
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Gathering a large collection of images has been made quite easy by social and image sharing websites, e.g. flickr.com. However, using such collections faces the problem that they contain a large number of duplicates and highly similar images. This work tackles the problem of how to automatically organize image collections into sets of similar images, called image families hereinafter. We thoroughly compare the performance of two approaches to measure image similarity: global descriptors vs. a set of local descriptors. We assess the performance of these approaches as the problem scales up to thousands of images and hundreds of families. We present our results on a new dataset of CD/DVD game covers.