Output details
11 - Computer Science and Informatics
Brunel University London
Article title
ELVIS: Entertainment-led video summaries
Type
D - Journal article
Title of journal
ACM Transactions on Multimedia Computing, Communications, and Applications
Article number
17
Volume number
6
Issue number
3
First page of article
-
ISSN of journal
1551-6857
Year of publication
2010
Number of additional authors
1
Additional information
<17> We were the first people to develop a fully-automated technique by combining and analysing real-time physiological responses to generate personalised video summaries applicable across a broad range of content genres. Consequently, significant progress is made in overcoming ‘the semantic gap’ which has challenged the multimedia content modelling community for over two decades. Chenes et al (2013) note the novelty and innovativeness of this approach, which has inspired the Computer Vision and Multimedia Laboratory (CVML) at the University of Geneva to engage in an on-going programme of work to develop automated video highlight detection techniques via user physiological responses.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
