Lossless datacompression is emerged to utilize in the Big-data applications in the recent days. The conventional algorithms mainly generate a symbol lookup table to replace a frequent data pattern in the inputted dat...
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ISBN:
(纸本)9783030227500;9783030227494
Lossless datacompression is emerged to utilize in the Big-data applications in the recent days. The conventional algorithms mainly generate a symbol lookup table to replace a frequent data pattern in the inputted data to a symbol, and then compresses the information. This kind of the dictionary-basedcompression mechanism potentially has an overhead problem regarding the number of symbol matchings in the table. This paper focuses on a novel method to reduce the number of searches in the table using a bank separation technique. This paper reports design and implementation of the bank select method on the LCT-DLT, and shows the performance evaluations to validate the effects of the method.
作者：
Yamagiwa, ShinichiIchinomiya, YumaUniv Tsukuba
Fac Engn Informat & Syst 1-1-1 Tennodai Tsukuba Ibaraki 3058573 Japan JST
PRESTO 4-1-8 Honcho Kawaguchi Saitama 3320012 Japan Univ Tsukuba
Dept Comp Sci 1-1-1 Tennodai Tsukuba Ibaraki 3058573 Japan
Video applications have become one of the major services in the engineering field, which are implemented by server-client systems connected via the Internet, broadcasting services for mobile devices such as smartphone...
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Video applications have become one of the major services in the engineering field, which are implemented by server-client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for security. Recently, the majority of video encoding mechanisms to reduce the data rate are mainly lossy compression methods such as the MPEG format. However, when we consider special needs for high-speed communication such as display applications and object detection ones with high accuracy from the video stream, we need to address the encoding mechanism without any loss of pixel information, called visually lossless compression. This paper focuses on the Adaptive Differential Pulse Code Modulation (ADPCM) that encodes a datastream into a constant bit length per data element. However, the conventional ADPCM does not have any mechanism to control dynamically the encoding bit length. We propose a novel ADPCM that provides a mechanism with a variable bit-length control, called ADPCM-VBL, for the encoding/decoding mechanism. Furthermore, since we expect that the encoded data from ADPCM maintains low entropy, we expect to reduce the amount of data by applying a lossless datacompression. Applying ADPCM-VBL and a lossless datacompression, this paper proposes a video transfer system that controls throughput autonomously in the communication data path. Through evaluations focusing on the aspects of the encoding performance and the image quality, we confirm that the proposed mechanisms effectively work on the applications that needs visually lossless compression by encoding video stream in low latency.
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