Methods for comparing rankings of search engine results
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web dynamics
Mixed-initiative photo collage authoring
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Can relevance of images be inferred from eye movements?
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
GaZIR: gaze-based zooming interface for image retrieval
Proceedings of the 2009 international conference on Multimodal interfaces
Summarization of personal photologs using multidimensional content and context
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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The automated selection of satisfying subsets from large collections of photos is a central challenge in multimedia research. Objective criteria like the depiction of persons or the photo quality are met by existing approaches. But it is difficult to know the users' personal interest, which plays an important role in the selection process. The expected spread of devices with eye tracking support in the near future allows us to measure this interest in a new way. In an experiment with 12 participants, we derive the most interesting photos of a collection for every person from gaze information recorded during the free viewing of the photos. We can show that the eye tracking information delivers valuable information about the users' preferences by comparing the results to a manual selection. The selection based on gaze information significantly outperforms baseline approaches and improves the results by up to 17%. For photo sets of personal interest this improvement is even up to 23%.