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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
8 years 10 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CIVR
2010
Springer
160views Image Analysis» more  CIVR 2010»
9 years 1 months ago
Today's and tomorrow's retrieval practice in the audiovisual archive
Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasing...
Bouke Huurnink, Cees G. M. Snoek, Maarten de Rijke...
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
9 years 1 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
CHI
2005
ACM
9 years 8 months ago
Deciphering visual gist and its implications for video retrieval and interface design
How do people make sense of a video based on viewing a few frames of that video? What elements constitute the "visual gist" in their minds? Answers to these questions wi...
Meng Yang, Gary Marchionini
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
9 years 9 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
ICIP
1997
IEEE
9 years 10 months ago
Content-Based Video Retrieval and Compression: A Unified Solution
HongJiang Zhang, John Y. A. Wang, Yucel Altunbasak
ICIP
2001
IEEE
9 years 10 months ago
Integrating color and spatial features for content-based video retrieval
Tong Lin, Chong-Wah Ngo, HongJiang Zhang, Qing-Yun...
ICIP
2002
IEEE
9 years 10 months ago
Video indexing by motion activity maps
Motion based video indexing is an important and active research area in content-based video retrieval. It explores the dynamic characteristics of video content and provides techni...
Wei Zeng, Wen Gao, Debin Zhao
ICIP
2004
IEEE
9 years 10 months ago
Fast video shot retrieval by trace geometry matching in principal component space
Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platf...
Zhu Li, Aggelos K. Katsaggelos, Bhavan Gandhi
ICIP
2006
IEEE
9 years 10 months ago
Fast Video Shot Retrieval with Luminance Field Trace Indexing and Geometry Matching
Efficient indexing is a key in content-based video retrieval solutions. In this paper we represent video sequences as traces in an appropriate low dimensional space via luminance ...
Li Gao, Zhu Li, Aggelos K. Katsaggelos
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