Abstract
In order to effectively resolve the "semantic gap" in image retrieval,this paper studied a new method for semantic annotation.Based on image segmentation,the method constructed image dictionary during the training phase,through analysis and description of color,texture and wavelet contour,established the two-stage annotation model combining comparison of wavelet contour and probability.It adopted corresponding method for different images by phases.The experimental results indicate the method can significantly improve recall and precision,and the maximum of precision is 23.6 percent.Besides,the model can understand image better and it also has good annotation effect and retrieval performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
