Curvature scale space image in shape similarity retrieval
Multimedia Systems
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Recursive Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AnnoSearch: Image Auto-Annotation by Search
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
Communications of the ACM - 50th anniversary issue: 1958 - 2008
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Supervised Learning of Quantizer Codebooks by Information Loss Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Approximate Reasoning
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
The Journal of Machine Learning Research
Vlfeat: an open and portable library of computer vision algorithms
Proceedings of the international conference on Multimedia
Automatic fish classification for underwater species behavior understanding
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Visual cue cluster construction via information bottleneck principle and kernel density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Learning vocabulary-based hashing with adaboost
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Unsupervised image-set clustering using an information theoretic framework
IEEE Transactions on Image Processing
Underwater live fish recognition using a balance-guaranteed optimized tree
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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The annotation of large datasets containing domain-specific images is both time-consuming and difficult. However, currently computer vision and machine learning methods have to deal with ever increasing amounts of data, where annotation of this data is essential. The annotated images allow these kind of methods to learn the variation in large datasets and evaluate methods based on large datasets. This paper presents a method for annotation of domain-specific (fish species) images using approximate nearest neighbor search to retrieve similar fish species in a large set (216,501) of images. The approximate nearest neighbor search allows us to find a ranked set of images in large datasets. Presenting similar images to users allows them to annotate images much more efficiently. In this case, our user interface present these images in such a way that the user does not need to have knowledge of a specific domain to contribute in the annotation of images.