Social image tag recommendation by concept matching
Enabling users to annotate tags to images is a crucial feature for social image sharing websites as it provides a way for users to navigate through a potentially vast collection of images. However, for tags to be an effective means of image organization and retrieval, every image needs to be tagged...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/44139 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-44139 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-441392023-03-03T20:32:10Z Social image tag recommendation by concept matching Chong, Jun An. Sun Aixin School of Computer Engineering Centre for Advanced Information Systems DRNTU::Engineering::Computer science and engineering::Information systems Enabling users to annotate tags to images is a crucial feature for social image sharing websites as it provides a way for users to navigate through a potentially vast collection of images. However, for tags to be an effective means of image organization and retrieval, every image needs to be tagged with a sufficient amount of meaningful and relevant tags. Thus image tag recommendation systems, which suggest such tags to users, are often incorporated as an accompanying feature in these websites. Bachelor of Engineering (Computer Engineering) 2011-05-26T08:59:54Z 2011-05-26T08:59:54Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44139 en Nanyang Technological University 48 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Computer science and engineering::Information systems |
spellingShingle |
DRNTU::Engineering::Computer science and engineering::Information systems Chong, Jun An. Social image tag recommendation by concept matching |
description |
Enabling users to annotate tags to images is a crucial feature for social image sharing websites as it provides a way for users to navigate through a potentially vast collection of images. However, for tags to be an effective means of image organization and retrieval, every image needs to be tagged with a sufficient amount of meaningful and relevant tags. Thus image tag recommendation systems, which suggest such tags to users, are often incorporated as an accompanying feature in these websites. |
author2 |
Sun Aixin |
author_facet |
Sun Aixin Chong, Jun An. |
format |
Final Year Project |
author |
Chong, Jun An. |
author_sort |
Chong, Jun An. |
title |
Social image tag recommendation by concept matching |
title_short |
Social image tag recommendation by concept matching |
title_full |
Social image tag recommendation by concept matching |
title_fullStr |
Social image tag recommendation by concept matching |
title_full_unstemmed |
Social image tag recommendation by concept matching |
title_sort |
social image tag recommendation by concept matching |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/44139 |
_version_ |
1759858421113290752 |