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Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. (2012)
Conference Proceeding
WANG, L., SONG, D. and ELYAN, E. 2012. Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. In Proceedings of the 21st Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'12), 29 October - 2 November 2012, Maui, USA. New York: ACM [online], pages 1303-1312. Available from: https://doi.org/10.1145/2396761.2398433

Most of the state-of-art approaches to Query-by-Example (QBE) video retrieval are based on the Bag-of-visual-Words (BovW) representation of visual content. It, however, ignores the spatial-temporal information, which is important for similarity measu... Read More about Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval..

Looking for genre: the use of structural features during search tasks with Wikipedia. (2012)
Conference Proceeding
CLARK, M., RUTHVEN, I., O'BRIAN HOLT, P. and SONG, D. 2012. Looking for genre: the use of structural features during search tasks with Wikipedia. In Proceedings of the 4th Information interaction in context symposium (IIIX'12), 21-24 August 2012, Nijmegen, Netherlands. New York: ACM [online], pages 145-154. Available from: https://doi.org/10.1145/2362724.2362751

This paper reports on our task-based observational, logged, questionnaire study and analysis of ocular behavior pertaining to the interaction of structural features of text in Wikipedia using eye tracking. We set natural and realistic tasks searching... Read More about Looking for genre: the use of structural features during search tasks with Wikipedia..