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» Combined visual attention model for video sequences
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ICPR
2006
IEEE
15 years 3 months ago
A Conditional Random Field Model for Video Super-resolution
In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
Dan Kong, Mei Han, Wei Xu, Hai Tao, Yihong Gong
ENC
2004
IEEE
15 years 1 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
PAMI
2008
179views more  PAMI 2008»
14 years 9 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
70
Voted
ICIP
2007
IEEE
15 years 4 months ago
Quality-Aware Video
Recent development in network visual communications has emphasized on the need of objective, reliable and easy-to-use video quality assessment (VQA) systems. This paper introduces...
Basavaraj Hiremath, Qiang Li, Zhou Wang
MICAI
2000
Springer
15 years 1 months ago
Detection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...
Rogério Schmidt Feris, Teófilo Em&ia...