Narrative Visualization System

Number: 20180225849
Published: 2018-08-09
Filed: 2017-02-07
Assignee: DISNEY ENTERPRISES INC.
Inventors: Schriber; Sasha Anna et al.
CPC: G06F16/345; G06F40/131; G06F40/30; G06T11/20; G06T11/26
Verdict: Set aside narrative data visualization/authoring tool
Source: Google Patents · FreePatentsOnline

Abstract

According to one implementation, a narrative visualization system includes a computing platform having a hardware processor and a system memory storing a narrative visualization software code. The hardware processor is configured to execute the narrative visualization software code to receive multiple media files. For each of the media files, the hardware processor is further configured to execute the narrative visualization software code to parse the media file to identify a primary content and metadata describing the primary content, to analyze the metadata to determine representative features of the primary content, and to generate a visualization of the primary content based on the metadata and the representative features. The visualization depicts a temporal flow of the primary content in a story tune of the primary content in apposition to a temporal flow of the primary content in a narrative time of the primary content.

Background

BACKGROUND

Nonlinear narrative is a widely used storytelling device in various types of art and entertainment, including literature, film, and digital media, for example. Nonlinear narrative can make a story more engaging and memorable by conveying the story out of chronological order, so that relationships among events in the story may not follow the original causality pattern established by the story plot. Due to its wide use, a technique for analyzing nonlinear narratives could provide useful insights for authors, academics, and consumers of literature and entertainment content narrated non-linearly. In particular, analysis of the relationship between narrative time and story time may benefit authors by shedding light on various ways to arrange scenes out of chronological order in order to increase suspense or otherwise heighten audience engagement.

Although techniques for analyzing stories qualitatively, such as through close reading, and quantitatively, such as through distance reading, have been developed, relatively little analysis has been directed to the temporal order of events in narrative. One explanation for the scarcity of analytical techniques for investigating temporal ordering within storytelling, particularly in the computational domain, is that it typically requires human-level cognitive processing to reconstruct the temporal relationship between narrative order and storyline.SUMMARY

There are provided systems and methods for generating na

Claims

1. A narrative visualization system comprising: a computing platform including a hardware processor and a system memory; a narrative visualization software code stored in the system memory; the hardware processor configured to execute the narrative visualization software code to: receive a plurality of media files; for each of the plurality of media files: parse the media file to identify a primary content of the media file and metadata describing the primary content; analyze the metadata to determine representative features of the primary content; and generate a visualization of the primary content based on the metadata and the representative features; the visualization depicting a temporal flow of the primary content in a story time of the primary content in apposition to a temporal flow of the primary content in a narrative time of the primary content. 11. A method for use by a system including a computing platform having a hardware processor and a system memory storing a narrative visualization software code, the method comprising: receiving, using the hardware processor, a plurality of media files; for each of the plurality of media files: parsing, using the hardware processor, the media file to identify a primary content of the media file and metadata describing the primary content; analyzing, using the hardware processor, the metadata to determine representative features of the primary content; and generating, using the hardware processor, a visualization of the primary content based on the metadata and the representative features; the visualization depicting a temporal flow of the primary content in a story time of the primary content in apposition to a temporal flow of the primary content in a narrative time of the primary content.