Methods and systems of dynamic content analysis

Number: 10104429
Published: 2018-10-16
Filed: 2017-05-09
Assignee: DISNEY ENTERPRISES, INC.
Inventors: Robert; Arnaud et al.
CPC: H04N21/44226; H04N21/44204; H04N21/44218; H04N21/44222; H04N21/44224; H04N21/23418; G06F16/436; H04N21/25866
Verdict: Set aside content analytics/business
Source: Google Patents · FreePatentsOnline

Abstract

Methods and systems of dynamic content analysis for categorizing media contents are provided. Data regarding the media contents that a user is watching on one or more devices is obtained, and the environment in which the user is watching the media contents may be captured. Metadata categorizing the events and the media contents can be generated, and the metadata may be further associated with a corresponding event.

Background

TECHNICAL FIELD(1) The present application relates generally to categorizing media contents, more particularly, some embodiments relate to methods and systems of dynamic content analysis.DESCRIPTION OF THE RELATED ART(2) Driven by advances in computer networking and communication technologies, delivery of personalized supplementary information such as advertising and education has become popular. The personalized supplementary information accompanying the media provides more opportunities for many entities, services, and agencies across almost all industries such as advertising, educational, and entertainment. Generally, categorizing the media content that the user is watching is necessary for providing such personalized supplementary information.BRIEF SUMMARY OF THE APPLICATION(3) According to various embodiments of the application, methods and systems of dynamic content analysis are provided. In particular, methods and systems of dynamic content analysis for categorizing media contents are provided. In various embodiments, data regarding the media contents that a user is watching on one or more devices may be obtained. The data may comprise media signals delivered to the devices and the display of the media contents. Scene analysis may be performed to process the data for categorizing the media contents. Scenes and events may be detected and recognized. Metadata categorizing the events and the media contents can be generated. The metadata may be further associated with a co

Claims

1. A computer-implemented method, comprising: performing dynamic analysis of a scene of a media content being viewed by a user to determine one or more elements present in the scene and recognize one or more events involving the one or more elements occurring in the scene, wherein the dynamic analysis of the scene is performed without utilizing predetermined information associated with either the one or more elements or the one or more events; analyzing one or more concurrent activities of the user during the viewing of the media content; generating real-time metadata comprising information characterizing at least one of the one or more elements and the one or more events and information characterizing the one or more concurrent activities of the user, the information characterizing the at least one of the one or more elements and the one or more concurrent activities of the user including at least psychometric metadata, and the information characterizing the at least one of the one or more events including at least textual descriptions categorizing the at least one or more events; and requesting supplementary information based upon the real-time metadata. 11. An apparatus, comprising: non-transitory memory storing a set of instructions; and a processor coupled to the non-transitory, wherein the set of instructions are configured to cause the processor to: perform dynamic analysis of a scene of a media content being viewed by a user to determine one or more elements present in the scene and recognize one or more events involving the one or more elements occurring in the scene, wherein the dynamic analysis of the scene is performed without utilizing predetermined information associated with either the one or more elements or the one or more events; analyze one or more concurrent activities of the user during the viewing of the media content; generate real-time metadata comprising information characterizing at least one of the one or more elements and the one or more events and information characterizing the one or more concurrent activities of the user, the information characterizing the at least one of the one or more elements and the one or more concurrent activities of the user including at least psychometric metadata, and the information characterizing the at least one of the one or more events including at least textual descriptions categorizing the at least one or more events; and request supplementary information based upon the real-time metadata.