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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
Consistent Line Clusters for Building Recognition in CBIR
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
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ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Weakly Supervised Top-down Image Segmentation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
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IEEE Transactions on Circuits and Systems for Video Technology
Semantic Image Segmentation and Object Labeling
IEEE Transactions on Circuits and Systems for Video Technology
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Leveraging social media for scalable object detection
Pattern Recognition
Contextual object category recognition for RGB-D scene labeling
Robotics and Autonomous Systems
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The fact that most users tend to tag images emotionally rather than realistically makes social datasets inherently flawed from a computer vision perspective. On the other hand they can be particularly useful due to their social context and their potential to grow arbitrary big. Our work shows how a combination of techniques operating on both tag and visual information spaces, manages to leverage the associated weak annotations and produce region-detail training samples. In this direction we make some theoretical observations relating the robustness of the resulting models, the accuracy of the analysis algorithms and the amount of processed data. Experimental evaluation performed against manually trained object detectors reveals the strengths and weaknesses of our approach.