Mitko Veta and Tomislav Kartalov and Zoran Ivanovski
Contentbased IndoorOutdoor Video Classification System for a Mobile Platform
1669 - 1674
2009
3
9
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/6708
https://publications.waset.org/vol/33
World Academy of Science, Engineering and Technology
Organization of video databases is becoming difficult
task as the amount of video content increases. Video classification
based on the content of videos can significantly increase the speed of
tasks such as browsing and searching for a particular video in a
database. In this paper, a contentbased videos classification system
for the classes indoor and outdoor is presented. The system is
intended to be used on a mobile platform with modest resources. The
algorithm makes use of the temporal redundancy in videos, which
allows using an uncomplicated classification model while still
achieving reasonable accuracy. The training and evaluation was done
on a video database of 443 videos downloaded from a video sharing
service. A total accuracy of 87.36 was achieved.
Open Science Index 33, 2009