2015
DOI: 10.1016/j.neucom.2014.11.027
|View full text |Cite
|
Sign up to set email alerts
|

Social images tag ranking based on visual words in compressed domain

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2018
2018

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(1 citation statement)
references
References 28 publications
(27 reference statements)
0
1
0
Order By: Relevance
“…; [1,[13][14][15][16][17][18] study the tags relevance by textual information, for example [1,13,17,18] calculate the tags concurrence probability and analyze the semantical relevance between tags, [14] analyzes the ontological relationship for tags, [1,15] assume that the important tags' positions are prior to those irrelevant ones; [19,20] argue that tags are content-related to the image, and after comparing to other 3 factors, [19] concludes that the image content is the key factor for tag relevance learning.…”
Section: Introductionmentioning
confidence: 99%
“…; [1,[13][14][15][16][17][18] study the tags relevance by textual information, for example [1,13,17,18] calculate the tags concurrence probability and analyze the semantical relevance between tags, [14] analyzes the ontological relationship for tags, [1,15] assume that the important tags' positions are prior to those irrelevant ones; [19,20] argue that tags are content-related to the image, and after comparing to other 3 factors, [19] concludes that the image content is the key factor for tag relevance learning.…”
Section: Introductionmentioning
confidence: 99%