Application (pre-grant publication)
Circular Visual Representation of Media Content
- Number
- 20180218520
- Published
- 2018-08-02
- Filed
- 2017-01-30
- Assignee
- Disney Enterprises Inc.
- Inventors
- Watson; Katherine et al.
- CPC
- G06T11/26
- Verdict
- Set aside content-library UI visualization
- Source
- Google Patents · FreePatentsOnline
Abstract
According to one implementation, a system for visualizing media content includes a computing platform including a hardware processor and a system memory, storing a content visualization software code. The hardware processor is configured to execute the content visualization software code to receive a media file, parse the media file to identify a primary content and metadata describing the primary content, and analyze the metadata to determine representative features of the primary content. The hardware processor further executes the content visualization software code to generate a circular visual representation of the primary content based on the metadata and the representative features, the circular visual representation having a non-linear correspondence to at least one of the representative features. The circular visual representation includes a central circle having a central radius, and multiple, at least semicircular segments, each having a respective radius greater than the central radius.
Background
BACKGROUND
The increased efficiency with which digital forms of media content can be stored, copied, and distributed has resulted in ever more media content being produced and made available to users. As a result, the efficiency with which media content can be reviewed, evaluated, and managed has become increasingly important to producers of media content, media students and academics, and consumers of media content. For example, new alternatives to conventional time consuming approaches to performing media content analysis, such as storyline analysis performed through the study of written text, may advantageously reduce the time spent in media content evaluation.
Although techniques for evaluating a particular item of media content using storyline visualization have been developed, those techniques are largely limited to analysis of a single feature of a storyline, such as a single character or setting of the media content storyline. As a result, although conventional storyline visualization techniques can be used to analyze a single feature of a storyline, or may be applied iteratively to analyze multiple features within a single storyline, they are typically unsuitable for comparing multiple items of media content, each presenting its own complex storyline.SUMMARY
There are provided systems and methods for visualizing media content, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely