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TMM
2011
166views more  TMM 2011»
14 years 10 months ago
Audiovisual Discrimination Between Speech and Laughter: Why and When Visual Information Might Help
Past research on automatic laughter classification / detection has focused mainly on audio-based approaches. Here we present an audiovisual approach to distinguishing laughter fr...
Stavros Petridis, Maja Pantic
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 9 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
157
Voted
PAA
2010
15 years 2 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
167
Voted
TIFS
2011
252views Education» more  TIFS 2011»
14 years 10 months ago
Secure Device Pairing Based on a Visual Channel: Design and Usability Study
— “Pairing” is the establishment of authenticated key agreement between two devices over a wireless channel. Such devices are ad hoc in nature as they lack any common preshar...
Nitesh Saxena, Jan-Erik Ekberg, Kari Kostiainen, N...
131
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IEEEVAST
2010
14 years 10 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller