Abstract
This demonstration presents a content-based leaf image retrieval system that supports wired/wireless access. For example, if we want to know about a plant that we encounter in a mountain or field, we might look it up in an illustrated book. But, it will take a long time to search due to the lack of appropriate indexing or search clues and huge amounts of similar plants. In order to solve this problem, we developed a content-based leaf image retrieval system called mCLOVER that supports both wired and wireless access and includes a set of novel features for easy querying and efficient retrieval.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th ACM International Conference on Multimedia, MM 2005 |
| Pages | 215-216 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
| Event | 13th ACM International Conference on Multimedia, MM 2005 - Singapore, Singapore Duration: 2005 Nov 6 → 2005 Nov 11 |
Other
| Other | 13th ACM International Conference on Multimedia, MM 2005 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 05/11/6 → 05/11/11 |
Fingerprint
Keywords
- Content-based Image Retrieval
- Mobile Platform
- Query by Photograph
- Query by Sketch
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
- Software
Cite this
mCLOVER : Mobile content-based leaf image retrieval system. / Kim, Suckchul; Tak, Yoonsik; Nam, Yunyoung; Hwang, Een Jun.
Proceedings of the 13th ACM International Conference on Multimedia, MM 2005. 2005. p. 215-216.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - mCLOVER
T2 - Mobile content-based leaf image retrieval system
AU - Kim, Suckchul
AU - Tak, Yoonsik
AU - Nam, Yunyoung
AU - Hwang, Een Jun
PY - 2005/12/1
Y1 - 2005/12/1
N2 - This demonstration presents a content-based leaf image retrieval system that supports wired/wireless access. For example, if we want to know about a plant that we encounter in a mountain or field, we might look it up in an illustrated book. But, it will take a long time to search due to the lack of appropriate indexing or search clues and huge amounts of similar plants. In order to solve this problem, we developed a content-based leaf image retrieval system called mCLOVER that supports both wired and wireless access and includes a set of novel features for easy querying and efficient retrieval.
AB - This demonstration presents a content-based leaf image retrieval system that supports wired/wireless access. For example, if we want to know about a plant that we encounter in a mountain or field, we might look it up in an illustrated book. But, it will take a long time to search due to the lack of appropriate indexing or search clues and huge amounts of similar plants. In order to solve this problem, we developed a content-based leaf image retrieval system called mCLOVER that supports both wired and wireless access and includes a set of novel features for easy querying and efficient retrieval.
KW - Content-based Image Retrieval
KW - Mobile Platform
KW - Query by Photograph
KW - Query by Sketch
UR - http://www.scopus.com/inward/record.url?scp=46449104457&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46449104457&partnerID=8YFLogxK
U2 - 10.1145/1101149.1101183
DO - 10.1145/1101149.1101183
M3 - Conference contribution
AN - SCOPUS:46449104457
SN - 1595930442
SN - 9781595930446
SP - 215
EP - 216
BT - Proceedings of the 13th ACM International Conference on Multimedia, MM 2005
ER -