Ibenthal, AchimAchimIbenthalSiggelkow, SvenSvenSiggelkowGrigat, Rolf-RainerRolf-RainerGrigat2021-09-072021-09-071996Proceedings of SPIE - The International Society for Optical Engineering 2952: 2-11 (1996-12)http://hdl.handle.net/11420/10286An algorithm for the segmentation of image sequences is presented, taking into account especially aspects for object oriented coding. A fundamental requirement of such applications is the temporal stability of the segmentation. This is improved in this article compared to other existing approaches by including motion estimation into the segmentation process. Additionally a hierarchical approach enables an efficient predictive coding on one hand and a semantic data access on the other hand. As a direct result from using full color information for the segmentation process, coding of the chrominance information can be done with extremely high compression ratios. Instead of full resolution chrominance information only few mean chrominance vectors need to be transferred (which corresponds to a compression factor of about 1000). Additionally object shapes must be coded but this has to be done for grayscale images anyway. ©2005 Copyright SPIE - The International Society for Optical Engineering.enImage sequence segmentationMotion estimationMPEG-4Object oriented codingObject trackingInformatikImage sequence segmentation for object-oriented codingConference Paper10.1117/12.251270Ohta, NaohisaNaohisaOhtaOther