Special Issue "Multimedia Information Compression and Coding"
Deadline for manuscript submissions: closed (30 April 2016)
The area of compression can be viewed as a mature field. Huffman codes were introduced in the 1950s, while arithmetic coding and dictionary coding made their appearance in the 1970s. For lossy compression, predictive compression traces its history to the fifties, transform coding to the sixties, and wavelet-based compression was introduced in the nineties. While the basic techniques have been around for a while, recent years have seen the appearance of new modalities and new platforms for compression. The ubiquity of compression has also extended the use of compression to data types not present twenty years ago while this ubiquity has made security and privacy issues matters of concern. This Special Issue focuses on all these aspects of multimedia information and coding.
Prospective authors are invited to submit previously unpublished works in these areas. Topics of interest include but are not restricted to:
- Video compression
- High Efficiency Video Coding
- Network compression.
- Genomic compression.
- Hyperspectral compression
- Quantum compression
- Compression and cryptography
- Compression of biological signals
- Compression over sensor networks
- Compression and Big Data
- Medical Image Compression
Prof. Dr. Khalid Sayood
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Visually Lossless JPEG2000 for Remote Image Browsing
Authors: Michael W. Marcellin and Ali Bilgin
Affiliation: The University of Arizona
Abstract: Image sizes have increased exponentially in recent years. The resulting high-resolution images are often viewed via remote image browsing. Zooming and panning are desirable features in this context, which result in disparate spatial regions of an image being displayed at a variety of (spatial) resolutions. When an image is displayed at a reduced resolution, the quantization step sizes needed for visually lossless quality generally increase. This paper investigates the quantization step sizes needed for visually lossless display as a function of resolution, and proposes a method that effectively incorporates the resulting (multiple) quantization step sizes into a single JPEG2000 codestream. This codestream is JPEG2000 Part 1 compliant and allows for visually lossless decoding at all resolutions natively supported by the wavelet transform as well as arbitrary intermediate resolutions, using only a fraction of the full-resolution codestream. When images are browsed remotely using the JPEG2000 Internet Protocol (JPIP), the required bandwidth is significantly reduced, as demonstrated by extensive experimental results.