- Number
- 20200065832
- Published
- 2020-02-27
- Filed
- 2018-08-21
- Assignee
- DISNEY ENTERPRISES INC..
- Inventors
- Cherny; Alexander, Accardo; Anthony M.
- CPC
- G06Q30/0204; H04N21/251; G06Q30/0272; H04N21/4668; G06Q30/0242; G06F3/0482; G06Q30/0201; H04L67/535; H04N21/26258
- Verdict
- Set aside content desirability analytics, business
- Source
- Google Patents · FreePatentsOnline
Abstract
A media content analysis system includes a computing platform having a hardware processor and a system memory storing a content assessment software code. The hardware processor executes the content assessment software code to, for each consumer of media content, receive usage data including timecode information, advertising consumption, and behavioral information corresponding to use of the media content by the consumer, and assess an engagement level for each of multiple timecode intervals of the media content based on an aggregate of the usage data. The content assessment software code also obtains metadata describing features presented by the media content during each timecode interval, for each timecode interval concatenates the engagement level with the metadata to produce an aggregate consumer engagement profile for the media content, and outputs an engagement visualization map of the media content based on the aggregate consumer engagement profile for rendering on a display.
Background
BACKGROUND
Media content in a wide variety of formats is consistently sought out and enjoyed by consumers. Nevertheless, the popularity of a particular item or items of media content, such as a movie, television (TV) series, or a particular TV episode can vary widely. Due to the resources often devoted to developing new content, the accuracy and efficiency with which the desirability of such content to consumers can be assessed has become increasingly important to producers, owners, and distributors of media content.SUMMARY
There are provided systems and methods for automating assessment of media content desirability, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely in the claims.
Claims
1. A media content analysis system comprising: a computing platform including a hardware processor and a system memory storing a content assessment software code; the hardware processor configured to execute the content assessment software code to: for each of a plurality of consumers of a media content, receive a usage data describing use of the media content by the consumer, the usage data including timecode information, advertising consumption, and behavioral information corresponding to the use of the media content by the consumer; assess an engagement level for each of a plurality of timecode intervals of the media content based on an aggregate of the usage data; for each of the plurality of timecode intervals, obtain metadata describing a plurality of features presented by the media content during the time interval; for each of the plurality of timecode intervals, concatenate the engagement level with the metadata to produce an aggregate consumer engagement profile for the media content; and output an engagement visualization map of the media content based on the aggregate consumer engagement profile for rendering on a display.
8. A method for use by a media content analysis system including a computing platform having a hardware processor and a system memory storing a content assessment software code, the method comprising: for each of a plurality of consumers of a media content, receiving, by the content assessment software code executed by the hardware processor, a usage data describing use of the media content by the consumer, the usage data including timecode information, advertising consumption, and behavioral information corresponding to the use of the media content by the consumer; assessing, by the content assessment software code executed by the hardware processor, an engagement level for each of a plurality of timecode intervals of the media content based on an aggregate of the usage data; for each of the plurality of timecode intervals, obtaining, by the content assessment software code executed by the hardware processor, metadata describing a plurality of features presented by the media content during the timecode interval; for each of the plurality of timecode intervals, concatenating, by the content assessment software code executed by the hardware processor, the engagement level with the metadata to produce an aggregate consumer engagement profile for the media content; and outputting, by the content assessment software code executed by the hardware processor, an engagement visualization map of the media content based on the aggregate consumer engagement profile for rendering on a display.
15. A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor, instantiate a method comprising: for each of a plurality of consumers of a media content, receiving a usage data describing use of the media content by the consumer, the usage data including timecode information, advertising consumption, and behavioral information corresponding to the use of the media content by the consumer; assessing an engagement level for each of a plurality of timecode intervals of the media content based on an aggregate of the usage data; for each of the plurality of timecode intervals, obtaining metadata describing a plurality of features presented by the media content during the timecode interval; for each of the plurality of timecode intervals, concatenating the engagement level with the metadata to produce an aggregate consumer engagement profile for the media content; and outputting an engagement visualization map of the media content based on the aggregate consumer engagement profile for rendering on a display.