2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin); 1/ 1/2012, p245-249, 5p
Consumer demand for enjoying any content anywhere, any time, and on any device is driving the need for reliable connectivity between content sources and consumption devices inside the home. A key content consumption device in the home is the TV. In this paper, we describe the connectivity challenges associated with Smart TVs to ensure a positive user experience and present some solutions that achieve these requirements. We also describe how the TV can incorporate the latest networking technologies to enable new types of user experiences. [ABSTRACT FROM PUBLISHER]
Telephony. Jan 11, 1988, Vol. 214 Issue 2, p26, 3 p. graph Image coding techniques compared.
Very-Large-Scale Integration, Image Processing, Very-large-scale integration -- Innovations, Data compression -- Methods, Image processing -- Methods, and Data communications -- Finance
Image compression reduces transmission bandwidth and lowers transmission costs. This is a necessary expedient to make large scale image transmission, which requires large scale data transmission economically feasible. Various techniques are available for compressing grey scale and color natural images. These include differential pulse code modulation (DPCM) and transform coding, which depend on the so-called local correlation property of images. DPCM codes the differences between adjacent pixels. Transform coding has three characteristics: high quality image reconstruction, robustness to transmission channel errors, and an image outline enabling fast image browsing through data bases. The main disadvantage has been a large computational requirement. There are large opportunities for VLSI devices to solve the problems in both the transmission and the receiver side of systems that transfer images, as VLSI technology permits efficient implementation of still-frame image compression systems and reduces the cost of image compression.