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» Automatic annotation of unique locations from video and text
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MTA
2010
116views more  MTA 2010»
14 years 8 months ago
Performing content-based retrieval of humans using gait biometrics
In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...
Sina Samangooei, Mark S. Nixon
ICIP
2001
IEEE
15 years 11 months ago
Study of embedded font context and kernel space methods for improved videotext recognition
Videotext refers to text superimposed on video frames. A videotext based Multimedia Description Scheme has recently been adopted into the MPEG-7 standard. A study of published wor...
Chitra Dorai, Hrishikesh Aradhye, Jae-Chang Shim
ICMCS
2006
IEEE
237views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Matching Faces with Textual Cues in Soccer Videos
In soccer videos, most significant actions are usually followed by close–up shots of players that take part in the action itself. Automatically annotating the identity of the p...
Marco Bertini, Alberto Del Bimbo, Walter Nunziati
BMCBI
2011
14 years 1 months ago
Computable visually observed phenotype ontological framework for plants
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...
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JASIS
1998
172views more  JASIS 1998»
14 years 9 months ago
Speech Recognition for a Digital Video Library
The standard method for making the full content of audio and video material searchable and is to annotate it with humangenerated meta-data that describes the content in a way that...
Michael J. Witbrock, Alexander G. Hauptmann