Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Combinatorial Algorithms: Theory and Practice
Combinatorial Algorithms: Theory and Practice
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Recommender systems and their impact on sales diversity
Proceedings of the 8th ACM conference on Electronic commerce
Optimization of interactive visual-similarity-based search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Novelty and topicality in interactive information retrieval
Journal of the American Society for Information Science and Technology
A comparison of color features for visual concept classification
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
CARD: a decision-guidance framework and application for recommending composite alternatives
Proceedings of the 2008 ACM conference on Recommender systems
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Overview of the ImageCLEFphoto 2008 photographic retrieval task
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Building a diversity featured search system by fusing existing tools
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Lightweight web image reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Dual-ranking for web image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
A hybrid unsupervised image re-ranking approach with latent topic contents
Proceedings of the ACM International Conference on Image and Video Retrieval
University of Glasgow at ImageCLEFPhoto 2009: optimising similarity and diversity in image retrieval
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Multimodal image retrieval over a large database
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Aggregated search result diversification
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Evaluation and user preference study on spatial diversity
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Evaluating subtopic retrieval methods: Clustering versus diversification of search results
Information Processing and Management: an International Journal
When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources
ACM Transactions on Internet Technology (TOIT)
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In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems often mainly find a set of very similar results, so called near duplicates, which is often not the desired behaviour. From the user perspective, the ideal result consists of documents which are not only relevant but ideally also diverse. Most approaches addressing diversity in image or information retrieval use a two-step approach where in a first step a set of potentially relevant images is determined and in a second step these images are reranked to be diverse among the first positions. In contrast to these approaches, our method addresses the problem directly and jointly optimises the diversity and the relevance of the images in the retrieval ranking using techniques inspired by dynamic programming algorithms. We quantitatively evaluate our method on the ImageCLEF 2008 photo retrieval data and obtain results which outperform the state of the art. Additionally, we perform a qualitative evaluation on a new product search task and it is observed that the diverse results are more attractive to an average user.