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104
Voted
MM
2009
ACM
156views Multimedia» more  MM 2009»
15 years 7 months ago
Understanding near-duplicate videos: a user-centric approach
Popular content in video sharing web sites (e.g., YouTube) is usually duplicated. Most scholars define near-duplicate video clips (NDVC) based on non-semantic features (e.g., di...
Mauro Cherubini, Rodrigo de Oliveira, Nuria Oliver
119
Voted
CHI
2004
ACM
16 years 1 months ago
Human-robot speech interface understanding inexplicit utterances using vision
Speech interfaces should have a capability of dealing with inexplicit utterances including such as ellipsis and deixis since they are common phenomena in our daily conversation. T...
Zaliyana Mohd Hanafiah, Chizu Yamazaki, Akio Nakam...
124
Voted
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 7 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
73
Voted
CHI
2009
ACM
15 years 5 months ago
Getting inspired!: understanding how and why examples are used in creative design practice
The use of examples serves a critical role in creative design practice, but details of this process remain an enigma. This is problematic for both the understanding of design acti...
Scarlett R. Herring, Chia-Chen Chang, Jesse Krantz...
103
Voted
MM
2010
ACM
146views Multimedia» more  MM 2010»
15 years 25 days ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...