Title :
Predicting packet-loss visibility using scene characteristics
Author :
Reibman, Amy R. ; Poole, David
Author_Institution :
AT&T Labs - Research, USA
Abstract :
We examine the influence of scene-level content on the visibility of packet loss impairments in MPEG-2 and H.264 compressed video. We consider both global camera motion and proximity to a scene cut. We use Patient Rule Induction Method (PRIM) to pick out both highly visible and very invisible packet losses. We show that global camera motion significantly increases visibility relative to a still camera. Further, while packet losses that are concealed using a prior scene’s image are strongly visible, all other packet losses near a scene change are much less likely to be visible, all other factors being equal.
Keywords :
Cameras; Data mining; Decoding; Humans; Image coding; Layout; Predictive models; Quality assessment; Transform coding; Video compression;
Conference_Titel :
Packet Video 2007
Conference_Location :
Lausanne, Switzerland
Print_ISBN :
978-1-4244-0981-5
Electronic_ISBN :
978-1-4244-0981-5
DOI :
10.1109/PACKET.2007.4397055