A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Learning color names for real-world applications
IEEE Transactions on Image Processing
Gathering and ranking photos of named entities with high precision, high recall, and diversity
Proceedings of the third ACM international conference on Web search and data mining
Diversity in photo retrieval: overview of the ImageCLEFPhoto task 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Social media driven image retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Texture information in run-length matrices
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we propose a new dataset, Div400, that was designed to support shared evaluation in different areas of social media photo retrieval, e.g., machine analysis (re-ranking, machine learning), human-based computation (crowdsourcing) or hybrid approaches (relevance feedback, machine-crowd integration). Div400 comes with associated relevance and diversity assessments performed by human annotators. 396 landmark locations are represented via 43,418 Flickr photos and metadata, Wikipedia pages and content descriptors for text and visual modalities. To facilitate distribution, only Creative Commons content was included in the dataset. The proposed dataset was validated during the 2013 Retrieving Diverse Social Images Task at the MediaEval Benchmarking Initiative for Multimedia Evaluation.