Video tracking

Video compression picture types

Algorithm

Engineering

Image compression

Image processing

Computer science

Compression ratio

Video processing

Internal combustion engine

Wavelet transform

Fractal compression

Fractal

Mathematics

Image (mathematics)

Automotive engineering

Mathematical analysis

Fractal transform

Artificial intelligence

Data compression

Data compression ratio

Lossless compression

Computer vision

Wavelet

International Journal of Modern Physics B

Data processing with multiple domains is an important concept in any platform; it deals with multimedia and textual information. Where textual data processing focuses on a structured or unstructured way of data processing which computes in less time with no compression over the data, multimedia data are processing deals with a processing requirement algorithm where compression is needed. This involve processing of video and their frames and compression in short forms such that the fast processing of storage as well as the access can be performed. There are different ways of performing compression, such as fractal compression, wavelet transform, compressive sensing, contractive transformation and other ways. One way of performing such a compression is working with the high frequency component of multimedia data. One of the most recent topics is fractal transformation which follows the block symmetry and archives high compression ratio. Yet, there are limitations such as working with speed and its cost while performing proper encoding and decoding using fractal compression. Swarm optimization and other related algorithms make it usable along with fractal compression function. In this paper, we review multiple algorithms in the field of fractal-based video compression and swarm intelligence for problems of optimization.

Review of video compression techniques based on fractal transform function and swarm intelligence