We present a video adaptation system which takes account of users' preference on video affective content (AC) and limited network resource. AC directly causes user's attention, evaluation and memory, which also provides feasible entry for video highlight. According to user's preference, the proposed adaptation insures the video parcels with AC are allocated as much as possible network resource. The system is implemented with MPEG-21 digital item adaptation (DIA) framework which provides a generic video adaptation solution for all video formats and various usage environments by manipulating on XML files. XML file based adaptation avoids complex video computation. 30 students from various departments were invited to test the system and their responses were positive.
History
Source title
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 200
Name of conference
IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007)
Location
Honolulu, HI
Start date
2007-04-01
End date
2007-04-05
Pagination
386-390
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place published
Piscataway, NJ
Language
en, English
College/Research Centre
Faculty of Engineering and Built Environment
School
School of Electrical Engineering and Computer Science