Fractional Motion Estimation

and extracted information from the video scene, frequently on compressed format to fit with the appli-figuration, the original video stream is frequently compressed to reduce the required data-bandwidth. The compression is therefore embedded in the smart camera using a dedicated accelerator. The adjustment of coding performance that we propose in this paper is different than state-of-art approaches. The recent MPEG Scalable Video coding standard (MPEG SVC) [4] aims to encode a high-qual-ity video bit-stream which contains a subset of bit-streams. Parts ing performances ith the software esign a ha and par modifications. For instance, Del Bue et al. [5] propose a software imple tion based on a DSP component which enables the compres be adjusted according to the information extracted in real-time from the video scene. Del Bue et al. propose a smart camera which enables several regions of interest to be detected in the scene and the coding performances to be adjusted for each of them. The sys-tem task is to transmit to its base station high quality foreground data, while trading-off the quality of the background data. Using a MPEG-4 Simple profile codec, different texture quantifications are applied on the foreground data and the background data. The ⇑ Corresponding author