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ICCV
2005
IEEE
16 years 8 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
ICIP
2009
IEEE
16 years 7 months ago
Spatial And Temporal Up-conversion Technique For Depth Video
This paper proposes a novel framework for up-conversion of depth video resolution both in spatial and in time domain. Time-of-Flight (TOF) sensors are widely used in computer visi...
ACIVS
2009
Springer
16 years 1 months ago
Dynamic Texture Extraction and Video Denoising
According to recent works, introduced by Y.Meyer [1] the decomposition models based on Total Variation (TV) appear as a very good way to extract texture from image sequences. Indee...
Mathieu Lugiez, Michel Ménard, Abdallah El-...
TCSV
2008
291views more  TCSV 2008»
15 years 6 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICASSP
2010
IEEE
15 years 3 months ago
Mining actor correlations with hierarchical concurrence parsing
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...
Kun Yuan, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun