Method and system for classifying scene for each person in video
AssigneeSamsung Electronics Co., Ltd.
InventorsJin Guk Jeong, Ji Yeun Kim, Sang Kyun Kim, San Ko
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Abstract
A method of classifying a scene for each person in a video, the method including: detecting a face within input video frames; detecting a shot change of the input video frames; extracting a person representation frame in the shot; performing a person clustering in the extracted person representation frame based on time information; detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background; and merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.
Claims15
A method of classifying a scene for each person in a video, the method comprising:
- detecting a face within input video frames;
- detecting a shot change of the input video frames;
- extracting a person representation frame in the shot;
- performing a person clustering in the extracted person representation frame based on time information;
- detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background;
- and
- merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.
A computer-readable recording medium storing a program for implementing a method of classifying a scene for each person in a video, the method comprising:
- detecting a face within input video frames;
- detecting a shot change of the input video frames;
- extracting a person representation frame in the shot;
- performing a person clustering in the extracted person representation frame based on time information;
- detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background;
- and
- merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.
A system for classifying a scene for each person in a video, the system comprising:
- a face detection unit detecting a face within input video frames;
- a shot change detection unit detecting a shot change of the input video frames;
- a person representation frame extraction unit extracting a person representation frame in the shot;
- a person clustering unit performing a person clustering in the extracted person representation frame based on time information;
- a scene change detection unit detecting a scene change by separating a person portion from a background based on face extraction information and comparing the person portion and the background;
- and
- a scene clustering unit merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.
Dependencies are inferred from the claim text.