Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
On image auto-annotation with latent space models
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
To search or to label?: predicting the performance of search-based automatic image classifiers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of active learning strategies for video indexing
Image Communication
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Learning social tag relevance by neighbor voting
IEEE Transactions on Multimedia
Baselines for Image Annotation
International Journal of Computer Vision
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images
ACM Transactions on Intelligent Systems and Technology (TIST)
Social media driven image retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Multimodal feature generation framework for semantic image classification
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Aggregating Local Image Descriptors into Compact Codes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tag Completion for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We address the problem of tag completion for automatic image annotation. Our method consists in two main steps: creating a list of "candidate tags" from the visual neighbors of the untagged image then using them as pieces of evidence to be combined to provide the final list of predicted tags. Both steps introduce a scheme to tackle with imprecision and uncertainty. First, a bag-of-words (BOW) signature is generated for each neighbor using local soft coding. Second, a sum-pooling operation across the BOW of the k nearest neighbors provides the list of "candidate tags". Finally, we use neighbors as pieces of evidence to be combined according to the Dempster's rule to predict the more relevant tags. The method is evaluated in the context of image classification and that of tag suggestion. The database used for visual neighbors search contains 1.2 million images extracted from Flickr. Classification is evaluated on the well known Pascal VOC 2007 and MIR Flickr datasets, on which we obtain similar or better results than the state-of-the-art. For tag suggestion, we manually annotated 241 queries. As well, we obtain competitive results on this task.