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» Using High-Level Semantic Features in Video Retrieval
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ICPR
2006
IEEE
15 years 10 months ago
Local Behaviours Labelling for Content Based Video Copy Detection
This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...
Julien Law-To, Valérie Gouet-Brunet, Olivie...
102
Voted
MIR
2006
ACM
150views Multimedia» more  MIR 2006»
15 years 3 months ago
Exploring temporal consistency for video analysis and retrieval
Temporal consistency is ubiquitous in video data, where temporally adjacent video shots usually share similar visual and semantic content. This paper presents a thorough study of ...
Jun Yang 0003, Alexander G. Hauptmann
ICPR
2010
IEEE
14 years 7 months ago
Learning Scene Semantics Using Fiedler Embedding
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
Jingen Liu, Saad Ali
100
Voted
ICMCS
2000
IEEE
110views Multimedia» more  ICMCS 2000»
15 years 1 months ago
Video Scene Segmentation using Video and Audio Features
In this paper we present a novel algorithm for video scene segmentation. We model a scene as a semantically consistent chunk of audio-visual data. Central to the segmentation fram...
Hari Sundaram, Shih-Fu Chang
MMM
2005
Springer
146views Multimedia» more  MMM 2005»
15 years 3 months ago
Retrieval of News Video Using Video Sequence Matching
In this paper, we propose a new algorithm to find video clips with different temporal durations and some spatial variations. We adopt a longest common subsequence (LCS) matching t...
Young-tae Kim, Tat-Seng Chua