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» Comparing Three Computational Models of Affect
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CVIU
2011
14 years 2 months ago
A comparative study of object-level spatial context techniques for semantic image analysis
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
FGR
2011
IEEE
244views Biometrics» more  FGR 2011»
14 years 2 months ago
Emotion representation, analysis and synthesis in continuous space: A survey
— Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains...
Hatice Gunes, Björn Schuller, Maja Pantic, Ro...
VMV
2001
112views Visualization» more  VMV 2001»
15 years 12 days ago
Generation of Decomposition Hierarchies for Efficient Occlusion Culling of Large Polygonal Models
Efficient handling of large polygonal scenes has always been a challenging task and in recent years, view-frustum and occlusion culling have drawn a lot of attention for accomplis...
Michael Meißner, Dirk Bartz, Gordon Mül...
ICMCS
2007
IEEE
150views Multimedia» more  ICMCS 2007»
15 years 5 months ago
Highlight Ranking for Racquet Sports Video in User Attention Subspaces Based on Relevance Feedback
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...
ACMACE
2008
ACM
15 years 1 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...