Temporal semantic compression for video browsing
MetadataShow full item record
We present a video browsing approach, termed Temporal Semantic Compression (TSC) that uses automated measures of interest to support today's foraging behaviours. Conventional browsers 'compress' a video stream using simple 2x or 8x fast-forward. TSC browsers dynamically filter video based on a single user gesture to leave out more or less of the boring bits. We demonstrate a browser with an example interest measure, derived from an automated estimate of movie tempo, to forage in terms of narrative structures such as crises, climaxes, and action sequence book-ends. Media understanding algorithms facilitate browsing, and interactivity enables the human-in-the-loop to cope when those algorithms fail to cross the semantic gap.
Showing items related by title, author, creator and subject.
Jiwa, Moyez; Meng, Xingqiong (2013)Background: There is unequal access to health care in Australia, particularly for the one-third of the population living in remote and rural areas. Video consultations delivered via the Internet present an opportunity to ...
Tippaya, S.; Sitjongsataporn, S.; Tan, Tele; Chamnongthai, K.; Khan, M. (2015)© 2015 IEEE.Video shot boundary detection or shot segmentation is an integral part of semantic video analysis. The objective of this process is to automatically detect the boundary region in video that further segment the ...
Kannan, R.; Andres, F.; Guetl, Christian (2010)A well-annotated dance media is an essential part of a nation's identity, transcending cultural and language barriers. Many dance video archives suffer from problems concerning authoring and access, because of the complex ...