Invention Grant
US08749570B2 Identifying and generating color and texture video cohorts based on video input
失效
基于视频输入识别和生成颜色和纹理视频队列
- Patent Title: Identifying and generating color and texture video cohorts based on video input
- Patent Title (中): 基于视频输入识别和生成颜色和纹理视频队列
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Application No.: US12333273Application Date: 2008-12-11
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Publication No.: US08749570B2Publication Date: 2014-06-10
- Inventor: Robert Lee Angell , Robert R Friedlander , James R Kraemer , Sergio Borger , Yashodhara M. Patnaik
- Applicant: Robert Lee Angell , Robert R Friedlander , James R Kraemer , Sergio Borger , Yashodhara M. Patnaik
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Law Office of Jim Boice
- Agent John R. Pivnichny
- Main IPC: G09G5/00
- IPC: G09G5/00

Abstract:
A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.
Public/Granted literature
- US20100150457A1 Identifying and Generating Color and Texture Video Cohorts Based on Video Input Public/Granted day:2010-06-17
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