Invention Grant
- Patent Title: Transductive multi-label learning for video concept detection
- Patent Title (中): 用于视频概念检测的转换多标签学习
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Application No.: US12329293Application Date: 2008-12-05
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Publication No.: US08218859B2Publication Date: 2012-07-10
- Inventor: Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
- Applicant: Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00

Abstract:
This disclosure describes various exemplary method and computer program products for transductive multi-label classification in detecting video concepts for information retrieval. This disclosure describes utilizing a hidden Markov random field formulation to detect labels for concepts in a video content and modeling a multi-label interdependence between the labels by a pairwise Markov random field. The process groups the labels into several parts to speed up a labeling inference and calculates a conditional probability score for the labels, the conditional probability scores are ordered for ranking in a video retrieval evaluation.
Public/Granted literature
- US20100142803A1 Transductive Multi-Label Learning For Video Concept Detection Public/Granted day:2010-06-10
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