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» Selecting What Is Important: Training Visual Attention
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ICMCS
2009
IEEE
215views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Image trimming via saliency region detection and iterative feature matching
Detection of saliency regions in images is useful for object based image understanding and object localization. In our work, we investigate a saliency region detection algorithm b...
Jiawei Huang, Ze-Nian Li
COLING
2010
13 years 2 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li
VRCAI
2009
ACM
14 years 2 months ago
Towards Virtual Reality games
Game engines of cinematic quality, broadband networking and advances in Virtual Reality (VR) technologies are setting the stage to allow players to have shared, “better-than-lif...
Andrei Sherstyuk, Dale Vincent, Anton Treskunov
KI
1995
Springer
13 years 11 months ago
Integrating Vision and Language: Towards Automatic Description of Human Movements
The integration of vision and natural languageprocessingincreasingly attracts attention in different areas of AI research. Up to now, however, there have only been a few attempts a...
Gerd Herzog, Karl Rohr
TOH
2008
81views more  TOH 2008»
13 years 7 months ago
Tactile and Multisensory Spatial Warning Signals for Drivers
The last few years have seen many exciting developments in the area of tactile and multisensory interface design. One of the most rapidly moving practical application areas for the...
Charles Spence, Cristy Ho