公开(公告)号：US09405976B2

公开(公告)日：2016-08-02

申请号：US14829593

申请日：2015-08-18

Applicant: TiVo Inc.

Inventor： Heather Dunlop ,  Matthew Berry

IPC: G06K9/34 ,  G06K9/62 ,  G06K9/00 ,  G06K9/52 ,  G06T7/00

CPC classification number: G06K9/00718 ,  G06K9/00751 ,  G06K9/52 ,  G06K9/6215 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/20021

Abstract: The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.

公开(公告)号：US20150356354A1

公开(公告)日：2015-12-10

申请号：US14829593

申请日：2015-08-18

Applicant: TiVo Inc.

Inventor： Heather Dunlop ,  Matthew Berry

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/52

CPC classification number: G06K9/00718 ,  G06K9/00751 ,  G06K9/52 ,  G06K9/6215 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/20021

Abstract: The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.

Abstract translation: 本公开涉及基于视频内容对视频进行分类的系统和方法。 对于包括多个帧的给定视频文件，提取帧的子集用于处理。 从子集中丢弃太暗，模糊或其他不良分类候选的帧。 通常，针对子集中的剩余帧计算描述每帧中可能包括的材料内容类型的材料分类分数。 材料分类分数用于生成表示每帧中材料内容的空间排列的材料排列向量。 随后将材料排列向量分类以产生每帧的场景分类分数向量。 场景分类结果在子集中的所有帧上被平均（或以其它方式处理），以将视频文件与与视频文件的场景内容的总体类型相关的一个或多个预定义场景类别相关联。

公开(公告)号：US20160342842A1

公开(公告)日：2016-11-24

申请号：US15225665

申请日：2016-08-01

Applicant: TiVo Inc.

Inventor： Heather Dunlop ,  Matthew Berry

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/00

CPC classification number: G06K9/00718 ,  G06K9/00751 ,  G06K9/52 ,  G06K9/6215 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/20021

Abstract: The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.