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» Estimating Missing Features to Improve Multimedia Retrieval
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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 1 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...
TREC
2007
15 years 26 days ago
TREC 2007 Blog Track Experiments at Kobe University
This paper describes our approaches to the opinion retrieval and blog distillation tasks for the Blog Track. For opinion retrieval we employ a two-stage framework consisting of ke...
Kazuhiro Seki, Yoshihiro Kino, Shohei Sato, Kuniak...
ECCV
2010
Springer
15 years 4 months ago
Joint People, Event, and Location Recognition in Personal Photo Collections using Cross-Domain Context
Abstract. We present a framework for vision-assisted tagging of personal photo collections using context. Whereas previous efforts mainly focus on tagging people, we develop a uni...
VLSISP
2010
106views more  VLSISP 2010»
14 years 10 months ago
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
SAMT
2007
Springer
171views Multimedia» more  SAMT 2007»
15 years 5 months ago
SAPIR: Scalable and Distributed Image Searching
—In this paper we present a scalable and distributed system for image retrieval based on visual features and annotated text. This system is the core of the SAPIR project. Its arc...
Fabrizio Falchi, Mouna Kacimi, Yosi Mass, Fausto R...