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» Discriminating Intended Human Objects in Consumer Videos
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ICPR
2010
IEEE
13 years 2 months ago
Discriminating Intended Human Objects in Consumer Videos
In a consumer video, there are not only intended objects, which are intentionally captured by the camcorder user, but also unintended objects, which are accidentally framed-in. Sin...
Hiroshi Uegaki, Yuta Nakashima, Noboru Babaguchi
CIVR
2004
Springer
121views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Assessing Scene Structuring in Consumer Videos
Abstract. Scene structuring is a video analysis task for which no common evaluation procedures have been fully adopted. In this paper, we present a methodology to evaluate such tas...
Daniel Gatica-Perez, Napat Triroj, Jean-Marc Odobe...
NIPS
2008
13 years 6 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori
ICCV
2005
IEEE
14 years 6 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
CVPR
2007
IEEE
14 years 6 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis