System and Method for Automatic Generation of Sports Media Highlights

Number: 20190205652
Published: 2019-07-04
Filed: 2017-12-28
Assignee: Disney Enterprises, Inc.
Inventors: Ray; Abhik et al.
CPC: G06V20/47; G06V20/42
Verdict: Set aside automatic generation of sports media highlights, content analytics
Source: Google Patents · FreePatentsOnline

Abstract

Methods and systems for automatic generation of sports highlights are described, where AV media data of a sporting event (game) are analyzed to identify sports highlights using a data-graph-based technique for “in-game” highlights, and “out-of-game” AV media data (e.g. post-game commentary/analysis/news) are analyzed for out-of-game content (OGC) related to each of the selected in-game highlights to produce a collective AV narrative around each of the in-game highlights selected. The format and appearance of the final highlights AV media content or video are also adjustable by the user or the highlights producer to optimize the highlight viewing experience.

Background

BACKGROUND

Creating narrative, i.e., story driven, highlights describing sports games, (where games includes any type of contests, including matches, etc.), involves significant human capital. Human efforts usually involve watching and editing game media footage and selecting related content such as that from interviewers, which can be inefficient. It is possible that a company has access to a range of sports content, but does not have the resources to actually produce the highlights, especially for content with significantly smaller numbers of viewership (such as games between smaller market teams and events around less popular athletes).

In addition, to serve a broad population of sports fans, and extract the value from as much content as possible (e.g., advertising), highlights should be produced for as many games and markets as possible, in an efficient manner while retaining a feel of narration.

Accordingly, it would be desirable to have a method and system that overcomes these issues and provides sports highlights in view of the aforementioned factors or requirements.

Claims

1. A method for automatically generating a narrative-based highlights video of a sporting event, comprising: receiving AV media data indicative of the sporting event; identifying at least one in-game highlight within the AV media data using a data-graph technique as selected in-game highlight; wherein the data-graph technique uses locations and actions of the players during the sporting event, and wherein the locations and actions are represented by data indicative of nodes and edges of a data graph; identifying out-of-game content related to the selected in-game highlight as selected out-of-game content; and combining the selected in-game highlight with the selected out-of-game content to create the narrative-based sports highlight video. | 16. A method for automatically generating a highlights video of a sporting event, comprising: receiving AV media data indicative of the sporting event; identifying at least one in-game highlight within the AV media data using a graph-based technique as selected in-game highlight; wherein the data-graph technique uses locations and actions of the players during the sporting event, and wherein the locations and actions are represented by data indicative of nodes and edges of a data graph; wherein the graph-based technique comprises identifying at least one dynamic normative pattern for the sporting event; and providing the sports highlight video using the selected in-game highlight. | 20. A method for automatically generating a narrative-based highlights video of a sports event, comprising: receiving AV media data indicative of the sporting event; identifying at least two in-game highlights within the AV media data, a first in-game highlight using a traditional in-game highlight, and a second in-game highlight using a graph-based technique, as selected in-game highlights; wherein the data-graph technique uses locations and actions of the players during the sporting event, and wherein the locations and actions are represented by data indicative of nodes and edges of a data graph; identifying out-of-game content related to the selected in-game highlight as selected out-of-game content; and combining the selected in-game highlights with the out-of-game content to create the narrative-based sports highlight video.