Title :
A limited hardware resources efficient motion estimation algorithm
Author :
Friederich, Mombers ; Stephanie, Dogimont
Author_Institution :
Integrated Syst. Center, Swiss Fed. Inst. of Technol., Ecublens, Switzerland
Abstract :
This paper describes a new motion estimation search strategy that exploits spatio-temporal correlation of motion vector field to estimate any kind of sequences containing low/high spatial details and slow/fast moving objects. The proposed algorithm dynamically changes its searching strategy between a modified genetic search and a N-step search accordingly to the scene motion complexity and the specified processing power budget. An adaptive sub-sampled motion vector tracing among B-frames mechanism is provided that drastically improves the coding quality for a relative additional complexity (less than 25%) which gives better results than exhaustive search over large searching range in all CCIR601 sequences tested
Keywords :
correlation methods; genetic algorithms; image coding; image sequences; motion estimation; B-frames mechanism; CCIR601 sequences; N-step search; adaptive sub-sampled motion vector; coding quality; exhaustive search; hardware resources efficient algorithm; modified genetic search; motion estimation; motion vector field; processing power budget; scene motion complexity; search strategy; searching range; sequences; spatial details; spatio-temporal correlation; Degradation; Encoding; Equations; Genetics; Hardware; Heuristic algorithms; Layout; MPEG 4 Standard; Motion estimation; Testing;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858751
