Title :
Enabling distributed summarization of wireless capsule endoscopy video
Author :
Ioannis, Kanaris ; Tsevas, Spyros ; Maglogiannis, Ilias ; Iakovidis, Dimitris K.
Author_Institution :
Dept. of Inf. & Commun. Syst., Univ. of the Aegean, Karlovasi, Greece
Abstract :
The introduction of distributed or parallel medical video processing is a constant growing need, because despite the large increase of modern workstations computational power, the amount of data in medical videos is growing rapidly increasing the computational needs for processing and mining. In this paper the distributed processing approach of a video summarization technique for endoscopy videos is presented. The paper discusses the implementation details and presents experimental results focusing on the produced speed-ups by the distributed processing model.
Keywords :
biomedical optical imaging; endoscopes; medical image processing; parallel processing; video signal processing; distributed medical video processing; distributed processing; distributed video summarization; parallel medical video processing; video summarization technique; wireless capsule endoscopy video; Biomedical computing; Biomedical imaging; Biomedical informatics; Computer science; Concurrent computing; Distributed computing; Distributed processing; Educational technology; Endoscopes; Video compression; Distributed processing; capsule endoscopy; clustering; medical video summarization;
Conference_Titel :
Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-6492-0
DOI :
10.1109/IST.2010.5548478