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» Using High-Level Semantic Features in Video Retrieval
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ICPR
2004
IEEE
15 years 11 months ago
An FPGA-Based Architecture for Real Time Image Feature Extraction
We propose a novel FPGA-based architecture for the extraction of four texture features using Gray Level Cooccurrence Matrix (GLCM) analysis. These features are angular second mome...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Dim...
ESWS
2007
Springer
15 years 3 months ago
Intelligent Search in a Collection of Video Lectures
ct In recent years, the use of streamed digital video as a teaching and learning resource has become an increasingly attractive option for many educators as an innovation which exp...
Angela Fogarolli
ICMCS
2007
IEEE
159views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Boosting Face Retrieval by using Relevant Set Correlation Clustering
We present a method to improve the performance of face retrieval in news videos by using the relevant-set correlation (RSC) clustering model. In this method, faces of a person are...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
CIVR
2006
Springer
15 years 1 months ago
Mining Novice User Activity with TRECVID Interactive Retrieval Tasks
Abstract. This paper investigates the applicability of Informedia shot-based interface features for video retrieval in the hands of novice users, noted in past work as being too re...
Michael G. Christel, Ronald M. Conescu
ICIP
2005
IEEE
15 years 3 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...