A Review on the Technological and Literary Background of Multimedia Compression

Data compression is the process of encoding data using a representation that decreases the overall size of data, where this reduction is possible when the original dataset contains some type of redundancy. Data compression, also called compaction, is the process of reducing the amount of data needed for storage or transmission of a given piece of information, typically using encoding techniques. Multimedia compression is employing tools and techniques to reduce the file size of various media formats, taking up less space. Both downloading and uploading a compressed file takes a lot less time. Data compression is one of the factors that contributed most to the great growth of information and communication technologies. Without compression, most consumer and entertainment technology products, which are today commonplace, would never have come into existence. This chapter provides an updated review of multimedia compression, showing and approaching its success relationship, with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.

Multimedia Compression Techniques for Streaming

With the growing popularity of streaming content, streaming platforms have emerged that offer content in resolutions of 4k, 2k, HD etc. Some regions of the world face a terrible network reception. Delivering content and a pleasant viewing experience to the users of such locations becomes a challenge. audio/video streaming at available network speeds is just not feasible for people at those locations. The only way is to reduce the data footprint of the concerned audio/video without compromising the quality. For this purpose, there exists algorithms and techniques that attempt to realize the same. Fortunately, the field of compression is an active one when it comes to content delivering. With a lot of algorithms in the play, which one actually delivers content while putting less strain on the users' network bandwidth? This paper carries out an extensive analysis of present popular algorithms to come to the conclusion of the best algorithm for streaming data. Both audio and video compression are put under scrutiny and are compared on various aspects prime to delivery of data.

Image and audio fractal compression: comprehensive review, enhancements and research directions

<p>This study aims to review the recent techniques in digital multimedia compression with respect to fractal coding techniques. It covers the proposed fractal coding methods in audio and image domain and the techniques that were used for accelerating the encoding time process which is considered the main challenge in fractal compression. This study also presents the trends of the researcher's interests in applying fractal coding in image domain in comparison to the audio domain. This review opens directions for further researches in the area of fractal coding in audio compression and removes the obstacles that face its implementation in order to compare fractal audio with the renowned audio compression techniques.</p>