The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 29, 2013
Filed:
Dec. 13, 2007
Mingjing LI, Beijing, CN;
Jing Lui, Beijing, CN;
Bin Wang, Beijing, CN;
Zhiwei LI, Beijing, CN;
Wei-ying MA, Beijing, CN;
Mingjing Li, Beijing, CN;
Jing Lui, Beijing, CN;
Bin Wang, Beijing, CN;
Zhiwei Li, Beijing, CN;
Wei-Ying Ma, Beijing, CN;
Microsoft Corporation, Redmond, WA (US);
Abstract
A dual cross-media relevance model (DCMRM) is used for automatic image annotation. In contrast to the traditional relevance models which calculate the joint probability of words and images over a training image database, the DCMRM model estimates the joint probability by calculating the expectation over words in a predefined lexicon. The DCMRM model may be advantageous because a predefined lexicon potentially has better behavior than a training image database. The DCMRM model also takes advantage of content-based techniques and image search techniques to define the word-to-image and word-to-word relations involved in image annotation. Both relations can be estimated by using image search techniques on the web data as well as available training data.