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APGV
2008
ACM
124views Visualization» more  APGV 2008»
14 years 1 months ago
Sensitivity to scene motion for phases of head yaws
In order to better understand how scene motion is perceived in immersive virtual environments and to provide guidelines for designing more useable systems, we measured sensitivity...
Jason Jerald, Tabitha C. Peck, Frank Steinicke, Ma...
ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
14 years 5 months ago
Using Semantic Features for Scene Classification: how Good do they Need to Be?
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
CVPR
2009
IEEE
15 years 5 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
BMVC
2010
13 years 9 months ago
Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
Martin Heracles, Fernando Martinelli, Jannik Frits...
ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
14 years 3 months ago
Understanding the backward slices of performance degrading instructions
For many applications, branch mispredictions and cache misses limit a processor’s performance to a level well below its peak instruction throughput. A small fraction of static i...
Craig B. Zilles, Gurindar S. Sohi