Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Unifying textual and visual cues for content-based image retrieval on the World Wide Web
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visually Searching the Web for Content
IEEE MultiMedia
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
Multiple-Instance Learning for Natural Scene Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
The Journal of Machine Learning Research
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Autonomous visual model building based on image crawling through internet search engines
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A bootstrapping framework for annotating and retrieving WWW images
Proceedings of the 12th annual ACM international conference on Multimedia
Visual pattern discovery using web images
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Image collector III: a web image-gathering system with bag-of-keypoints
Proceedings of the 16th international conference on World Wide Web
Discriminating image senses by clustering with multimodal features
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Foundations and Trends in Web Science
Automatic web image selection with a probabilistic latent topic model
Proceedings of the 17th international conference on World Wide Web
Image retrieval ++--web image retrieval with an enhanced multi-modality ontology
Multimedia Tools and Applications
A novel region-based approach to visual concept modeling using web images
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Crossing textual and visual content in different application scenarios
Multimedia Tools and Applications
Deriving semantic terms for images by mining the web
Proceedings of the 11th International Conference on Electronic Commerce
Visual categorization with negative examples for free
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Improving keyword based web image search with visual feature distribution and term expansion
Knowledge and Information Systems
Web image gathering with region-based bag-of-features and multiple instance learning
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Web image mining using concept sensitive Markov stationary features
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Relevance filtering meets active learning: improving web-based concept detectors
Proceedings of the international conference on Multimedia information retrieval
Region-based automatic web image selection
Proceedings of the international conference on Multimedia information retrieval
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning
International Journal of Computer Vision
Web image gathering with a part-based object recognition method
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Automatic extraction of relevant video shots of specific actions exploiting Web data
Computer Vision and Image Understanding
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We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many concepts as possible for large scale object recognition studies. A second goal is supporting the building of more accurate text-based indexes for Web images. In our method, good quality candidate sets of images for each keyword are gathered as a function of analysis of the surrounding HTML text. The gathered images are then segmented into regions, and a model for the probability distribution of regions for the concept is computed using an iterative algorithm based on the previous work on statistical image annotation. The learned model is then applied to identify which images are visually relevant to the concept implied by the keyword. Implicitly, which regions or the images are relevant is also determined. Our experiments reveal that the new method performs much better than Google Image Search and a simple method based on more standard content based image retrieval methods.