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» Using High-Level Semantic Features in Video Retrieval
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SEMCO
2007
IEEE
15 years 3 months ago
A Hybrid Approach to Improving Semantic Extraction of News Video
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
ECIR
2007
Springer
14 years 11 months ago
Hierarchical Browsing of Video Key Frames
We propose an innovative, general purpose, method to the selection and hierarchical representation of key frames of a video sequence for video summarization. It is able to create a...
Gianluigi Ciocca, Raimondo Schettini
89
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ICIP
2007
IEEE
15 years 11 months ago
Finding Regions of Interest in Home Videos Based on Camera Motion
In this paper, we propose an algorithm for identifying regions of interest (ROIs) in video, particularly for the keyframes extracted from a home video. The camera motion is introd...
Golnaz Abdollahian, Edward J. Delp
AUSAI
2005
Springer
15 years 3 months ago
Automated Scene Understanding for Airport Aprons
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
119
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ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
15 years 2 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang