发明名称 |
Dual cross-media relevance model for image annotation |
摘要 |
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.
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申请公布号 |
US8571850(B2) |
申请公布日期 |
2013.10.29 |
申请号 |
US20070956331 |
申请日期 |
2007.12.13 |
申请人 |
LI MINGJING;LUI JING;WANG BIN;LI ZHIWEI;MA WEI-YING;MICROSOFT CORPORATION |
发明人 |
LI MINGJING;LUI JING;WANG BIN;LI ZHIWEI;MA WEI-YING |
分类号 |
G06F17/27 |
主分类号 |
G06F17/27 |
代理机构 |
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