AuthorsD. Johansen, H. Johansen, P. Halvorsen, B. Olstad, C. Gurrin and C. Griwodz
EditorsJ. Lu, X. Hua and C. D. Xu
TitleComposing Personalized Video Playouts Using Search
Afilliation, Communication Systems
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2010
Conference NameProceedings of the International Workshop on Visual Content Identification and Search (VCIDS) - ICME workshops
Pagination1534-1539
Date PublishedJuly
PublisherIEEE
ISBN Number978-1-4244-7491-2
Abstract

We conjecture that composition of video events from various sources into personalized video playouts will become an important part of next generation streaming systems. Here, video search is a key component since it enables users to retrieve candidate video events based on their interests. One of the main challenges, however, is to analyze the videos in order to correctly identify the various events used to annotate and index the video data. Key problems with current video analysis solutions include that they 1) are complex and therefore require a lot of processing time resulting in large delays; 2) that they can only identify a limited set of events; and 3) that they are still too inaccurate, both giving false positives and failing to find all events. In our DAVVI prototype, we therefore extract metadata for our video search engine by combining existing automatic video analysis tools with currently untapped textual information available in the Internet. This provides an end-user experience where textual query results can be combined dynamically into seamless, highly personalized video playouts using an adaptive torrent-like HTTP streaming solution.

Citation KeySimula.mpg.22