Application (pre-grant publication)
Accessibility Enhanced Content Rendering
- Number
- 20220360844
- Published
- 2022-11-10
- Filed
- 2022-05-03
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Arana; Mark, Navarre; Katherine S., Radford; Michael A., Rice; Joseph S., Vasquez; Noel Brandon
- CPC
- G11B27/10; G06T13/80; H04N21/43074; H04N21/44008; H04N21/4316; H04N21/47202; G06T13/40; H04N21/4394; H04N21/816; H04N21/4122; G09B21/009
- Verdict
- Set aside accessibility content-rendering feature, business
- Source
- Google Patents · FreePatentsOnline
Abstract
A user system for rendering accessibility enhanced content includes processing hardware, a display, and a memory storing software code. The processing hardware executes the software code to receive primary content from a content distributor and determine whether the primary content is accessibility enhanced content including an accessibility track. When the primary content omits the accessibility track, the processing hardware executes the software code to perform a visual analysis, an audio analysis, or both, of the primary content, generate, based on the visual analysis and/or the audio analysis, the accessibility track to include at least one of a sign language performance or one or more video tokens configured to be played back during playback of the primary content, and synchronize the accessibility track to the primary content. The processing hardware also executes the software code to render, using the display, the primary content or the accessibility enhanced content.
Background
BACKGROUND
A variety of accessibility features, such as vision compensation, hearing assistance, and neurodiversity tools, for example, can greatly improve the experience of interacting with media content for persons experiencing disabilities. As a specific example, members of the deaf and hearing impaired communities often rely on any of a number of signed languages for communication via hand signals. Although effective in translating the plain meaning of a communication, hand signals alone typically do not fully capture the emphasis or emotional intensity motivating that communication. Accordingly, skilled human sign language translators tend to employ multiple physical modes when communicating information. Those modes may include gestures other than hand signals, postures, and facial expressions, as well as the speed and force with which such expressive movements are executed.
For a human sign language translator, identification of the appropriate emotional intensity and emphasis to include in a signing performance may be largely intuitive, based on cognitive skills honed unconsciously as the understanding of spoken language is learned and refined through childhood and beyond. However, the exclusive reliance on human sign language translation can be expensive, and in some use cases may be inconvenient or even impracticable, while analogous challenges to the provision of vision compensated and neurodiversity sensitive content exist. Consequently, there is a ne