Invention Grant
- Patent Title: Correlative multi-label image annotation
- Patent Title (中): 相关多标签图像注释
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Application No.: US12030616Application Date: 2008-02-13
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Publication No.: US07996762B2Publication Date: 2011-08-09
- Inventor: Guo-Jun Qi , Xian-Sheng Hua , Yong Rui , Hong-Jiang Zhang , Shipeng Li
- Applicant: Guo-Jun Qi , Xian-Sheng Hua , Yong Rui , Hong-Jiang Zhang , Shipeng Li
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F17/00
- IPC: G06F17/00

Abstract:
Correlative multi-label image annotation may entail annotating an image by indicating respective labels for respective concepts. In an example embodiment, a classifier is to annotate an image by implementing a labeling function that maps an input feature space and a label space to a combination feature vector. The combination feature vector models both features of individual ones of the concepts and correlations among the concepts.
Public/Granted literature
- US20090083010A1 Correlative Multi-Label Image Annotation Public/Granted day:2009-03-26
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