Abstract: Scalable Video Coding is recently attracting attentions due to its high flexibility. The current H.264/AVC scalable extension has adopted the Motion Compensated Temporal Filter (MCTF) framework to provide temporal scalability. In this paper, described is another fast motion estimation (ME) algorithm based on the MCTF framework. Simulation results show that the herein described algorithm can reduce the encoding complexity significantly while maintaining similar bit rate and PSNR, comparing with existing fast ME algorithms implemented in the reference software.

Abstract: Gain Saturation (GS) for MRFME is where searching in more previous frames offers very limited or even no performance gain. Similarly, gain aggregation (GA) is where significant gain can be obtained by searching more frames. By dynamically determining, while encoding, if either condition applies, and changing the search range accordingly, complexity is reduced and speed can be increased.

Abstract: Scalable Video Coding is recently attracting attentions due to its high flexibility. The current H.264/AVC scalable extension has adopted the Motion Compensated Temporal Filter (MCTF) framework to provide temporal scalability. In this paper, described is another fast motion estimation (ME) algorithm based on the MCTF framework. Simulation results show that the herein described algorithm can reduce the encoding complexity significantly while maintaining similar bit rate and PSNR, comparing with existing fast ME algorithms implemented in the reference software.

Abstract: Scalable Video Coding is recently attracting attentions due to its high flexibility. The current H.264/AVC scalable extension has adopted the Motion Compensated Temporal Filter (MCTF) framework to provide temporal scalability. In this paper, described is another fast motion estimation (ME) algorithm based on the MCTF framework. Simulation results show that the herein described algorithm can reduce the encoding complexity significantly while maintaining similar bit rate and PSNR, comparing with existing fast ME algorithms implemented in the reference software.