KEY OPTIMIZATION TECHNIQUES IN JPEG-LS IP CORE DESIGN

This paper presents the key optimization techniques for an efficient accelerator implementation in an image encoder IP core design for real-time Joint Photographic Experts Group Lossless(JPEG-LS) encoding.Pipeline architecture and accelerator elements have been utilized to enhance the throughput capability.Improved parameters mapping schemes and resource sharing have been adopted for the purpose of low complexity and small chip die area.Module-level and fine-grained gating measures have been used to achieve a low-power implementation.It has been proved that these hardware-oriented optimization techniques make the encoder meet the requirements of the IP core implementation.The proposed optimization techniques have been verified in the implementation of the JPEG-LS encoder IP,and then validated in a real wireless endoscope system.

A Novel Scheme for Compression of Cash Images

In the field of economy, there are more and more electronic scanning cash images, which need to be compressed in a higher compression ratio. This paper proposes a specific compression algorithm for cash images. First, according to cash image characteristics and standard JPEG （joint photographic experts group） compression, image re-ordering techniques are analyzed, and the method of modifying some blocks into single color blocks is adopted. Then, a suitable quantization table for cash images is obtained. Experimental results show that the method is effective.

Multimedia Data Coding and its Development

The requirements of data coding in multimedia applications are presented, the current technique of coding and relative standards is introduced, then the work that have been doing is presented, i.e. the wavelet-based coding method and the VE (Visual Entropy)-based coding method. The experiment results prove that these methods have gained a better perceptual quality of a reconstructed image and a lower bit rate. Their performance evaluations are better than JPEG (Joint Photographic Experts Group) coding. Finally, the future topics of study are put forward.

Real-time and Automatic Close-up Retrieval from Compressed Videos

This paper proposes a thorough scheme, by virtue of camera zooming descriptor with two-level threshold, to automatically retrieve close-ups directly from moving picture experts group （MPEG） compressed videos based on camera motion analysis. A new algorithm for fast camera motion estimation in compressed domain is presented. In the retrieval process, camera-motion-based semantic retrieval is built. To improve the coverage of the proposed scheme, close-up retrieval in all kinds of videos is investigated. Extensive experiments illustrate that the proposed scheme provides promising retrieval results under real-time and automatic application scenario.

Adaptive Delayed Acknowledgement Algorithm for MPEG-4 Traffic in UWB Networks

Although ultra-wideband transmission rates are very high in the physical layer, the bandwidth utilization efficiency is very low in the medium access control （MAC） layer. The bandwidth utilization efficiency can be improved and the quality of service for delay-sensitive variable bit rate traffic such as high rate motion picture experts group （MPEG）-4 traffic can be guaranteed by a simple and efficient algorithm that dynamically sets the burst size of the delayed-acknowledgement （Dly-ACK） based on the I EEE 802.15.3 standard. The burst size was adjusted in response to the wireless channel quality. Furthermore, the burst size was bounded by a maximum acknowledgement burst size setting and the remaining number of un-received blocks of a current supra-block. Simulation results show that the method achieves significant performance enhancement in the job failure rate and throughput compared to immediate-acknowledgement （Imm-ACK） and other fixed burst size Dly-ACK schemes. This algorithm can also be applied in generalized time division multiple access （TDMA） systems by using the block acknowledgement mechanism for delay sensitive traffic.

Operational indicators for measuring organizational e-readiness based on fuzzy logic: A challenge in the Agricultural Organization of Guilan Province, Iran

Information and communications technology has exponentially grown in recent years and has played a significant role in organizational development.The main purpose of this study was to collect the data needed for the introduction of a new tool for assessing e-readiness in the Agricultural Organization of Guilan Province,Iran.The study population includes agricultural organization experts and researchers who were familiar with the concepts of IT and the organization status.Based on the relevant literature review,the e-readiness indicators which had theoretically been proposed and practically used by researchers over the past 10 years were identified.Then some parameters were introduced for examination and prioritization.These indicators represented the spatial and temporal factors as well as the characteristics of the condition of the Agricultural Organization of Guilan Province.The proposed structural model included seven factors(Infrastructural,Human,Educational,Government,Management,Socio-cultural and Legal)and 44 indicators.After that,based on the experts’points of view,the coefficient of significance for each of the selected factors and indicators was measured using Minkowski fuzzy screening method.The results obtained from structured questionnaires show that all of the seven main factors and 40 indicators out of 44 indicators were appropriate for assessing electronic readiness and the final model of assessing e-readiness.Furthermore,the results indicated that the most important factor in assessing e-readiness is the human factor and then stand other factors such as educational,infrastructural,management,government,legal and socio-cultural.

Modeling the MPEG-1 Video Traffic

Now, the problem of modeling MPEG 1 video traffic still needs studying further. Based on the analysis of statistical characteristics of this kind of traffic, this paper presents a new traffic model. Simulation results show that the proposed model can reflect the statistical characteristics of the real MPEG 1 video traffic well.