Open AccessUsing Pre-Determined Patterns to Analyze the Common Behavior of Compressed Data and Their Compressibility Apeal
Author(s) -
Kamal A. Al-Khayyat,
Imad Fakhri Taha Alshaikhli,
V Vijaykumar
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.34.13905
Subject(s) - uncompressed video , compressibility , binary number , binary data , measure (data warehouse) , computer science , data mining , mathematics , artificial intelligence , physics , thermodynamics , arithmetic , object (grammar) , video tracking
This paper studies the behavior of compressed/uncompressed data on predetermined binary patterns. These patterns were generated according to specific criteria to ensure that they represent binary files. Each pattern is structurally unique. This study shows that all compressed data behave almost similarly when analyzing predetermined patterns. They all follow a curve similar to that of a skewed normal distribution. The uncompressed data, on the other hand, behave differently. Each file of uncompressed data plots its own curve without a specific shape. The paper confirms the side effect of these patterns, and the fact that they can be used to measure the compressibility appeal of compressed data.