Improving video browsing with an eye-tracking evaluation of feature-based color bars
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Eye-tracking analysis of user behavior in WWW search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring Human Eye Behaviour using a Model of Visual Attention
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Eye Tracking as a New Interface for Image Retrieval
BT Technology Journal
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using gaze-based feedback on the subdocument level
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Content-based image retrieval using a combination of visual features and eye tracking data
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Visual attention for implicit relevance feedback in a content based image retrieval
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Image ranking with implicit feedback from eye movements
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Text or pictures? an eyetracking study of how people view digital video surrogates
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Human behavior sensing for tag relevance assessment
Proceedings of the 21st ACM international conference on Multimedia
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This paper investigates the role of gaze movements as implicit user feedback during interactive video retrieval tasks. In this context, we use a content-based video search engine to perform an interactive video retrieval experiment, during which, we record the user gaze movements with the aid of an eye-tracking device and generate features for each video shot based on aggregated past user eye fixation and pupil dilation data. Then, we employ support vector machines, in order to train a classifier that could identify shots marked as relevant to a new query topic submitted by new users. The positive results provided by the classifier are used as recommendations for future users, who search for similar topics. The evaluation shows that important information can be extracted from aggregated gaze movements during video retrieval tasks, while the involvement of pupil dilation data improves the performance of the system and facilitates interactive video search.