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A Method and System for Dynamically Creating a Video Clip based on Relative Distance among Objects

IP.com Disclosure Number: IPCOM000249240D
Publication Date: 2017-Feb-13
Document File: 4 page(s) / 200K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for dynamically creating a video clip based on relative distance among objects. The method and system calculates relative distance ranges and position among various objects to identify best possible video clips matching a search criteria.

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A Method and System for Dynamically Creating a Video Clip based on Relative Distance among Objects

Disclosed is a method and system for dynamically creating a video clip based on relative distance among objects. The method and system calculates relative distance ranges and position among various objects to identify best possible video clips matching a search criteria.

The method and system includes a software installed in a video server, which is configured to extract each and every video frame gathered from all possible videos captured from different directions. In a scenario, the method and system captures the video from various directions at same point of time at an event in stadium as illustrated in Figure 1.

Figure 1

The video captured from various directions is shared in public domain to extract video frames from each video for performing image analysis.

Subsequently, the software analyzes each and every video frames to extract image objects and measure the relative distance among the objects with time scale and accordingly create a virtual model of an event with relative position of the objects with a time scale. Here, the software utilizes an auto tagging, manual tagging, or crowdsource tagging of the objects to recognize the objects in virtual model as illustrated in Figure 2.

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Figure 2

Once, the relative position of the objects is identified, the software calculates the distance among the various objects in different time scale and aggregate the relative position of all the objects for arranging the objects according to the time dimension.

Further, the software enables a user to search a video clip by creating a schematic diagram and providing a distance range among the objects and the speed range of the objects. Here, the user is allowed to draft at least two hand drawn images as boundary conditions along with a relative distance among the participating objects. While drawing a second boundary condition, the user is allowed to define the time difference ranges from a first boundary condition to the second boundary condition. In a scenario, if a user is looking for a video clip, where a player is 30-40 meter from a goal post and the player is covered by five other players (player 1, player 2, player 3, player 4 and player 5) within 0 to 2-meter distance. According to a second boundary condition, the player may reach towards the goal post within 2 to 10 minutes as illustrated in Figure 3.

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Figure 3

Later, the search engine...