Author :
Schultz, Dan ; Holtzman, Henry
Author_Institution :
Inf. Ecology, MIT Media Lab., Cambridge, MA, USA
Abstract :
ATTN-SPAN is a digital content summarization and contextualization platform designed to compile video footage into personalized episodes. Viewers are able to associate opinions and externally sourced static content to moments within the video, creating a far richer viewing experience and supporting a community knowledge base around civic information. The pilot project utilizes C-SPAN footage to create daily episodes for each user of the system based on his or her political interests.
Keywords :
video signal processing; ATTN-SPAN; C-SPAN footage; contextualization platform; digital content summarization; long form primary source media summarization; personalized episode; political interest; video footage; Communities; Environmental factors; Feeds; Government; Internet; Knowledge based systems; Media;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-2070-3
DOI :
10.1109/CCNC.2012.6180998
