Label-Specific Training Set Construction from Web Resource for Image Annotation

Computer Science – Multimedia

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 5 figures

Scientific paper

Recently many research efforts have been devoted to image annotation by leveraging on the associated tags/keywords of web images as training labels. A key issue to resolve is the relatively low accuracy of the tags. In this paper, we propose a novel semi-automatic framework to construct a more accurate and effective training set from these web media resources for each label that we want to learn. Experiments conducted on a real-world dataset demonstrate that the constructed training set can result in higher accuracy for image annotation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Label-Specific Training Set Construction from Web Resource for Image Annotation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Label-Specific Training Set Construction from Web Resource for Image Annotation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Label-Specific Training Set Construction from Web Resource for Image Annotation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-225699

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.