Patent Document ID: 9898666
Application ID: 15004283

Base Claim:
1. A method of providing primitive visual knowledge performed by a primitive visual knowledge providing apparatus, the method comprising: receiving an image video in a form of a digital image sequence; dividing the received image video into scenes; extracting a representative shot from each of the scenes; extracting objects from frames which compose the representative shot; extracting action verbs based on a mutual relationship between the extracted objects; selecting a frame best expressing the mutual relationship with the objects, which are the basis for the extracting of the action verbs, as a key frame; generating the primitive visual knowledge based on the selected key frame; storing the generated primitive visual knowledge in a database; and visualizing the primitive visual knowledge stored in the database to provide the primitive visual knowledge to a manager, wherein the extracting of the representative shot includes: calculating an entropy in a section while moving along sections of separate scenes; and extracting a section having the highest entropy as the representative shot.

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Claim 2:
2. The method of claim 1 , wherein the dividing of the received image video into scenes includes: monitoring a change amount of the image video in the received image video; tagging a time point at which the change amount goes beyond a critical amount as a start point of a scene, and continuing to monitor the change amount of the image; tagging a time point at which the change amount is equal to or smaller than the critical amount as an end point of the scene; and separating an image video in a section between the start point and the end point of the scene, and storing the separated image video as a scene for analysis.