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» Human performance measures for video retrieval
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CVPR
2008
IEEE
14 years 11 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
HCI
2009
13 years 7 months ago
A Similarity Measure for Vision-Based Sign Recognition
When we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looki...
Haijing Wang, Alexandra Stefan, Vassilis Athitsos
CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
14 years 1 months ago
Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after automatic retrieval has arrange the images in expected or...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
MM
2003
ACM
241views Multimedia» more  MM 2003»
14 years 3 months ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
SIGIR
2011
ACM
13 years 18 days ago
Ad hoc IR: not much room for improvement
Ranking function performance reached a plateau in 1994. The reason for this is investigated. First the performance of BM25 is measured as the proportion of queries satisfied on th...
Andrew Trotman, David Keeler