Back to results

Massachusetts Institute of Technology

Glyph : lightweight and evocative looping images in the news

Abstract

dc:description.abstract

There is an emotional dimension to the informative function of the news. When we read the news we participate in a collective emotional experience- whether that is grief, celebration, worry, or wonder. News video is a crucial vector for these shared emotional experiences, which can propel civic action. But video comes at a high cost in time and attention, and is thus unsuitable for high volume news and social feeds, and mobile and wearable devices. On these interfaces, there is value in presenting video in a way that's immediately evocative, preserving the richness of video while atomizing it to an excerpt as "glanceable" as a still image. This thesis proposes Glyph, a tool for creating expressive, seamlessly-looping GIFs from video. The tool integrates opensource software for video/image manipulation and loop detection into a simple, web-based authoring interface. Glyph allows a user to automatically detect perfect loops that occur in a video, create the appearance of seamless motion in a non-looping clip, still some regions of movement in a clip to highlight others, or imbue a still frame with subtle dynamism. The part-automated, part-manual editing tool thus allows users to quickly build nonliteral excerpts from video that can immediately crystalize an affective quality or crucial moment, suspending and intensifying its semantic or emotional content through continuous, seamless looping. This thesis additionally explores applications for this class of image, called glyphs.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Niles, Savannah
Advisor dc:contributor.advisor
  • Andrew B. Lippman.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/98624
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/98624

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Niles, Savannah. Glyph : lightweight and evocative looping images in the news. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98624