In this paper various techniques for low bit rate video coding are studied and implemented. The selection of an optimal regular-shaped pattern set for very low bit-rate video coding, focusing on moving regions has bee...
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This paper proposes a hybrid transformation technique, where the intraframes of video sequence are coded by discrete wavelet transform and the interframes are coded with discrete cosine transform technique. It also pr...
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ISBN:
(纸本)9783540681397
This paper proposes a hybrid transformation technique, where the intraframes of video sequence are coded by discrete wavelet transform and the interframes are coded with discrete cosine transform technique. It also proposes the selection of sequence of frames predicted from the reference intraframes. This proposal consistently minimizes the prediction error for the predicted frame for further processing. The experimental results show that the proposed hybrid transformation technique outperforms conventional transformation coding technique in terms of encoding time and prediction errors. The advantages of this approach include the potential for improving efficiency and ease of transmission.
Safety messaging plays an important role in Vehicle-to Vehicle (V2V) communications. By broadcasting packets via an 802.11 based technology, each vehicle informs the neighbors with its real-time status. Since this kin...
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ISBN:
(纸本)9781424436927
Safety messaging plays an important role in Vehicle-to Vehicle (V2V) communications. By broadcasting packets via an 802.11 based technology, each vehicle informs the neighbors with its real-time status. Since this kind of information is life-critical, it should be received by all the adjacent vehicles with very high probability. In the previous work, we proposed a coded cooperative repetition approach for reliably broadcasting safety message in VANETs. It improves message's reception rate by repeating the received messages and share the scarce wireless bandwidth by coding two repetitions together. However, this method also introduces overheads. Almost 40% of all received coded repetitions are useless due to suboptimal coding decisions. In this paper, we improve this coded repetition method by providing it with more accurate information to guide the coding process. This enhancement incorporates three main techniques: reception rate estimation, neighbor state collection and opportunistic coding. Our experiments show a significant performance improvement. The overhead is reduced from over 40% to around 10% and the reception rate is increased by 15%.
Efficient coding hypothesis provides a quantitative relationship between environmental statistics and neural processing. In this paper, we put forward a novel sparse coding model based on structural similarity (SS-SC)...
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This proceedings book presents recent research work and results in the area of communication and information technologies. The chapters of this book contain the main, well-selected and reviewed contributions of scient...
ISBN:
(数字)9783319404158
ISBN:
(纸本)9783319404141
This proceedings book presents recent research work and results in the area of communication and information technologies. The chapters of this book contain the main, well-selected and reviewed contributions of scientists who met at the 12th internationalconference on computing and informationtechnology (IC2IT) held during 7th - 8th July 2016 in Khon Kaen, Thailand The book is divided into three parts: User Centric Data Mining and Text Processing, Data Mining Algoritms and their Applications and Optimization of Complex Networks.
This paper examines using linear predictive coding (LPC) to research an expansion of low-strength statistics, which include thermal and acoustic indicators. The author recognizes the application of linear prediction t...
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In this paper, a PCA (Principal Component Analysis) based fast vector quantization coding method for spectral imagery has been proposed. Firstly, PCA is used to concentrate effective information of image into a few PC...
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ISBN:
(纸本)9781424455379
In this paper, a PCA (Principal Component Analysis) based fast vector quantization coding method for spectral imagery has been proposed. Firstly, PCA is used to concentrate effective information of image into a few PCs (Principal Components). Then a PC selected method based on the eigenvalues is used to extract the PCs that contain the main information. Furthermore, an improved fast vector quantization (VQ) algorithm is exploited to encode the selected PCs. Experimental results show that, under the same coding conditions, the proposed method can achieve 13-16 dB higher reconstruction quality than JPEG2000 image coding standard.
This study explores how first year students in informationtechnology Engineering at College of Science and technology, Royal University of Bhutan, learn C programming. An online questionnaire was administrated to the...
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ISBN:
(纸本)9781538608920
This study explores how first year students in informationtechnology Engineering at College of Science and technology, Royal University of Bhutan, learn C programming. An online questionnaire was administrated to the students and asked about time spent in collaborative learning, individual coding and watching someone code. These data were analyzed in correlating to their exam scores. Students' ways of preparing for exam and their concept on C programming are categorized. Our result indicate a relationship between how the different ways of working relate to their exam results. Further, the insights of the project point to that learning of theory of programming and practicing programming go hand in hand in a C programming course. Our intent is that this study will be helpful for future teachers and students in programming courses in Bhutan and in its region.
This paper investigates the maximal achievable multi-rate throughput problem of a multicast session at the presence of network coding. Deviating from previous works which focus on single-rate network coding, our work ...
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ISBN:
(纸本)9781424455379
This paper investigates the maximal achievable multi-rate throughput problem of a multicast session at the presence of network coding. Deviating from previous works which focus on single-rate network coding, our work takes the heterogeneity of sinks into account and provides multiple data layers to address the problem. Firstly formulated is the maximal achievable throughput problem with the assumption that the data layers are independent and layer rates are static. It is proved that the problem in this case is, unfortunately, Non-deterministic Polynomial-time(NP)-hard. In addition, also extend our formulation to the problems with dependent layers and dynamic layers.
In this paper a new predictive lossless coding scheme is proposed. The prediction is based on a cascaded peak to valley linear prediction method (PVLP). This method is based on simple linear prediction between the det...
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