Video Manga: generating semantically meaningful video summaries
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Classification and annotation of digital photos using optical context data
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Intelligent photo clustering with user interaction and distance metric learning
Pattern Recognition Letters
How do users make a people-centric slideshow?
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
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Photo album summarization is the process of selecting a subset of photos from a larger collection which best preserves the information in the entire set and is semantically coherent. In this paper we propose a system which uses heterogeneous information sources associated with digital photos and generates a summary. Our algorithm adapts itself based on the type of event it is summarizing (Yearbook, Week or Single Day Event) We model the summarization problem as a retrieval problem based on different types of queries. We propose some evaluation metrics for the summary. We use an intuitive web based interface to present the results so that users can further explore the summary in an interactive way. This system is our submission to the CeWe Challenge for the Next Generation of Tangible Multimedia Products.