Title :
Eigennews: Generating and delivering personalized news video
Author :
Daneshi, M. ; Vajda, P. ; Chen, D.M. ; Tsai, Shauhyuarn Sean ; Yu, M.C. ; Araujo, Aleteia F. ; Chen, Huanting ; Girod, B.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Next-generation news video consumption will be more personalized, device agnostic, and pooled from many different sources. The EigenNews system provides each viewer with a personalized newscast filled with stories that matter most to them. While personalized text-based news services already exist, personalized video news streams are still a critically missing technology. Our system records multiple channels, segments each news stream into individual stories, discovers links between the stories themselves and links between the stories and online articles, and generates a personalized playlist for each user. The dynamic mixing and aggregation of broadcast news videos from multiple sources greatly enriches the news watching experience by providing more comprehensive coverage and varying perspectives. Over time, the website collects click and view histories and uses this information to continuously optimize the personalization.
Keywords :
Web sites; broadcasting; interactive video; video signal processing; video streaming; EigenNews system; Eigennews; Web site; broadcast news videos; dynamic mixing; multiple channels; news watching experience; next-generation news video consumption; online articles; personalized news video; personalized newscast; personalized playlist; personalized text-based news services; personalized video news streams; Algorithm design and analysis; Feature extraction; History; Joining processes; Streaming media; TV; Visualization; interactive videos; news aggregation; personalization; story linking; story segmentation;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
DOI :
10.1109/ICMEW.2013.6618439