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» Using High-Level Semantic Features in Video Retrieval
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136
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ICMCS
2006
IEEE
153views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Learning-Based Interactive Video Retrieval System
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-H...
MIR
2006
ACM
151views Multimedia» more  MIR 2006»
15 years 11 months ago
Evaluation campaigns and TRECVid
The TREC Video Retrieval Evaluation (TRECVid) is an international benchmarking activity to encourage research in video information retrieval by providing a large test collection, ...
Alan F. Smeaton, Paul Over, Wessel Kraaij
154
Voted
ICMCS
2000
IEEE
79views Multimedia» more  ICMCS 2000»
15 years 9 months ago
From Features to Semantics: Some Preliminary Results
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic anal...
Rong Zhao, William I. Grosky
ISBI
2009
IEEE
15 years 11 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
ICIP
2009
IEEE
16 years 6 months ago
Spatio-temporal Tube Kernel For Actor Retrieval
This paper presents an actor video retrieval system based on face video-tubes extraction and representation with sets of temporally coherent features. Visual features, SIFT points...