Invention Grant
- Patent Title: Kernelized spatial-contextual image classification
- Patent Title (中): 内核空间上下文图像分类
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Application No.: US12237298Application Date: 2008-09-24
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Publication No.: US08131086B2Publication Date: 2012-03-06
- Inventor: Xian-Sheng Hua , Guo-Jun Qi , Yong Rui , Hong-Jiang Zhang
- Applicant: Xian-Sheng Hua , Guo-Jun Qi , Yong Rui , Hong-Jiang Zhang
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall McCoy Russell & Tuttle LLP
- Main IPC: G06K9/68
- IPC: G06K9/68

Abstract:
Kernelized spatial-contextual image classification is disclosed. One embodiment comprises generating a first spatial-contextual model to represent a first image, the first spatial-contextual model having a plurality of interconnected nodes arranged in a first pattern of connections with each node connected to at least one other node, generating a second spatial-contextual model to represent a second image using the first pattern of connections, and estimating the distance between corresponding nodes in the first spatial-contextual model and the second spatial-contextual model based on a relationship with adjacent connected nodes to determine a distance between the first image and the second image.
Public/Granted literature
- US20100074537A1 KERNELIZED SPATIAL-CONTEXTUAL IMAGE CLASSIFICATION Public/Granted day:2010-03-25
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