Abstract
A media management system exploiting characteristics of travel media is designed to facilitate efficient management and browsing. According to travel schedules, travel media often have implicit thematic structure. Correlation between different modalities also provides implicit cues to media analysis. In this system, we exploit techniques of near-duplicate detection to select representative photos, and determine region-of-interest in photos to enhance browsing experience. For face-name association, a face clustering module based on visual language models is constructed. To systematically segment travel videos of bad visual quality and significant motion, we explore correlation between photos and videos based on approximate visual word histogram matching. Experimental results demonstrate the effectiveness of the proposed approaches and show that they are practical functions.
| Original language | English |
|---|---|
| Pages (from-to) | 93-104 |
| Number of pages | 12 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 22 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2011 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Cite this
}
Travelmedia : An intelligent management system for media captured in travel. / Chu, Wei Ta; Li, Cheng Jung; Tseng, Sheng Chun.
In: Journal of Visual Communication and Image Representation, Vol. 22, No. 1, 01.01.2011, p. 93-104.Research output: Contribution to journal › Article
TY - JOUR
T1 - Travelmedia
T2 - An intelligent management system for media captured in travel
AU - Chu, Wei Ta
AU - Li, Cheng Jung
AU - Tseng, Sheng Chun
PY - 2011/1/1
Y1 - 2011/1/1
N2 - A media management system exploiting characteristics of travel media is designed to facilitate efficient management and browsing. According to travel schedules, travel media often have implicit thematic structure. Correlation between different modalities also provides implicit cues to media analysis. In this system, we exploit techniques of near-duplicate detection to select representative photos, and determine region-of-interest in photos to enhance browsing experience. For face-name association, a face clustering module based on visual language models is constructed. To systematically segment travel videos of bad visual quality and significant motion, we explore correlation between photos and videos based on approximate visual word histogram matching. Experimental results demonstrate the effectiveness of the proposed approaches and show that they are practical functions.
AB - A media management system exploiting characteristics of travel media is designed to facilitate efficient management and browsing. According to travel schedules, travel media often have implicit thematic structure. Correlation between different modalities also provides implicit cues to media analysis. In this system, we exploit techniques of near-duplicate detection to select representative photos, and determine region-of-interest in photos to enhance browsing experience. For face-name association, a face clustering module based on visual language models is constructed. To systematically segment travel videos of bad visual quality and significant motion, we explore correlation between photos and videos based on approximate visual word histogram matching. Experimental results demonstrate the effectiveness of the proposed approaches and show that they are practical functions.
UR - http://www.scopus.com/inward/record.url?scp=78650732488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650732488&partnerID=8YFLogxK
U2 - 10.1016/j.jvcir.2010.10.008
DO - 10.1016/j.jvcir.2010.10.008
M3 - Article
AN - SCOPUS:78650732488
VL - 22
SP - 93
EP - 104
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
SN - 1047-3203
IS - 1
ER -