Mobile Multimedia Communications: 7th International ICST by Vlado Menkovski, Georgios Exarchakos, Antonio Liotta

By Vlado Menkovski, Georgios Exarchakos, Antonio Liotta (auth.), Luigi Atzori, Jaime Delgado, Daniele Giusto (eds.)

This booklet constitutes the completely refereed post-conference court cases of the seventh foreign ICST convention on cellular Multimedia Communications (MOBIMEDIA 2011) held in Cagliari, Italy, in September 2011 The 26 revised complete papers offered have been rigorously chosen from a variety of submissions and concentration issues akin to caliber of expertise, dynamic spectrum entry instant networks within the television white areas, media streaming, cellular visible seek, photograph processing and transmission, and cellular applications.

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3. Example of block pattern selected based on visual attention models The following step is thus the quantification of the edge similarity between the reference and the processed images, done by summing the zeros and ones which are unchanged after compression or lossy transmission of the image. Hence, for each block the similarity index can be computed as Is,l = nl /pl (3) where m n nl = p l − |scl,ij − sol,ij | (4) i=1 j=1 is the number of zeros and ones unchanged in the l − th block and pl = m × n is the total number of pixels in the l − th block.

G. Martini, B. Villarini, and F. Fiorucci Subdivision of the Image in Sub-windows. The first step consists of the subdivision of images in sub-windows. 5 and consider 18 × 16 macroblocks with size 19 × 32 each, as in the example reported in Figure 3. Selection of the Visual Attention Area. In order to reduce the overhead associated with the transmission of side information, only 12 blocks are selected to represent the different areas of the images. The block pattern utilized for our tests is chosen after several investigations based on visual attention (VA).

5 Processing of Results In this section both objective and subjective evaluation results are illustrated and discussed. gr/cones On Measuring the Perceptual Quality of Video Streams over Lossy Wireless Networks 51 all video perceived QoS measurements for all six testing video sequences are compared against different bit error rates and network load conditions. 1 Objective Scores Fig. 1. PSNR measurements for CIF and QCIF spatial resolutions of the three test video sequences The PSNR at the receiver for different network and channel conditions and a 5% error bar for each measurement, are illustrated in Figure 1.

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