Web Image Learning for Searching Semantic Concepts in Image Databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques are yet a long way off, we can seek other alternative techniques to solve this difficult issue. In this paper, we propos...
Saved in:
Main Authors: | HOI, Steven, LYU, Michael R. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2004
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2396 https://ink.library.smu.edu.sg/context/sis_research/article/3396/viewcontent/www2004_steven.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Biased Support Vector Machine for Relevance Feedback in Image Retrieval
by: HOI, Steven, et al.
Published: (2004) -
A Unified Log-based Relevance Feedback Scheme for Image Retrieval
by: HOI, Steven, et al.
Published: (2006) -
Fuzzy semantic labeling of natural images
by: PATERNO MARGARITA CARMEN SEMINIANO
Published: (2010) -
Giving meanings to WWW images
by: Shen, H.T., et al.
Published: (2013) -
A Novel Log-based Relevance Feedback Technique in Content-based Image Retrieval
by: HOI, Steven C. H., et al.
Published: (2004)