Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding

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 m...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shinichi Yamagiwa [verfasserIn] Yuma Ichinomiya [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	data compression ADPCM visual data compression stream-based data compression lossless data compression ASE coding

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 13, p 4602
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:13, p 4602

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21134602

Katalog-ID:	DOAJ031166466

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language	English
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topic_facet	data compression ADPCM visual data compression stream-based data compression lossless data compression ASE coding Chemical technology
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authorswithroles_txt_mv	Shinichi Yamagiwa @@aut@@ Yuma Ichinomiya @@aut@@
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callnumber-first	T - Technology
author	Shinichi Yamagiwa
spellingShingle	Shinichi Yamagiwa misc TP1-1185 misc data compression misc ADPCM misc visual data compression misc stream-based data compression misc lossless data compression misc ASE coding misc Chemical technology Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding
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topic_title	TP1-1185 Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding data compression ADPCM visual data compression stream-based data compression lossless data compression ASE coding
topic	misc TP1-1185 misc data compression misc ADPCM misc visual data compression misc stream-based data compression misc lossless data compression misc ASE coding misc Chemical technology
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title	Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding
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title_sort	stream-based visually lossless data compression applying variable bit-length adpcm encoding
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title_auth	Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding
abstract	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 data stream 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 data compression. Applying ADPCM-VBL and a lossless data compression, 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.
abstractGer	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 data stream 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 data compression. Applying ADPCM-VBL and a lossless data compression, 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.
abstract_unstemmed	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 data stream 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 data compression. Applying ADPCM-VBL and a lossless data compression, 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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title_short	Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding
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up_date	2024-07-03T19:06:12.979Z
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Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding

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