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» Estimating Missing Features to Improve Multimedia Retrieval
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TIP
2002
179views more  TIP 2002»
14 years 11 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
103
Voted
MM
2005
ACM
164views Multimedia» more  MM 2005»
15 years 5 months ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang
MM
2010
ACM
151views Multimedia» more  MM 2010»
14 years 12 months ago
Enhanced exploration of oral history archives through processed video and synchronized text transcripts
A digital video library of over 900 hours of video and 18000 stories from The HistoryMakers was used by 266 students, faculty, librarians, and life-long learners interacting with ...
Michael G. Christel, Scott M. Stevens, Bryan Maher...
ESTIMEDIA
2009
Springer
15 years 6 months ago
QoS management of dynamic video tasks by task splitting and skipping
—We have integrated processing with deterministic and non-deterministic resource usage in an overall application and evaluated its performance on a multi-core processor platform....
Rob Albers, Eric Suijs, Peter H. N. de With
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Emotion Recognition from Noisy Speech
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...