Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Quick fractal compression and decompression method for binocular stereo video based on object

A binocular stereoscopic and fractal compression technology, applied in stereoscopic systems, digital video signal modification, television, etc.

Inactive Publication Date: 2013-12-11
BEIHANG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But compared with monocular video, binocular stereoscopic video system must transmit and store twice the amount of data, so it must be effectively compressed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Quick fractal compression and decompression method for binocular stereo video based on object
  • Quick fractal compression and decompression method for binocular stereo video based on object
  • Quick fractal compression and decompression method for binocular stereo video based on object

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0131] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. Only the brightness component Y is taken as an example, and the compression steps of the color difference components U and V are the same as the brightness components.

[0132] The present invention proposes a fast object-based binocular stereoscopic video fractal compression and decompression method. In the encoding, the left channel is used as the basic layer, and a separate motion compensation prediction method (MCP) is used for encoding. First, the left object is initially The frame adopts block DCT transform coding, performs block motion estimation / compensation coding on the left non-I frame, calculates the pixel sum and pixel square sum of the sub-block related to the sub-block domain and the parent block domain, and calculates the fractional pixel interpolation value of the corresponding block Pixel sum, pixel square sum, and then pre-search...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a quick fractal compression and decompression method for a binocular stereo video based on an object. In coding, a left path is used as a basic layer to code in an MCP (motion compensation prediction) mode; a video splitting method is used to obtain a video object splitting plane, i.e. an Alpha plane; a left-eye starting frame is coded by DCT (discrete cosine transformation); a non I frame is subjected to motion estimation / compensation coding to calculate the pixel sum and the pixel quadratic sum of sub blocks relevant to a sub block region and a father block region; the pixel sum and the pixel quadratic sum of the interpolated value corresponding block of a subpixel are calculated; preview search limiting condition judgment is carried out; the most similar matching block in a previous frame of search window is found by an unsymmetrical cross-shaped multi-level hexagon lattice point search algorithm matched and improved by a subpixel block; a right path is an enhanced layer and is coded by an MCP+DCP (disparity compensated predication) mode; and the result with the minimum error is selected as a prediction result. During DCP coding, conditions are restricted by disparity distribution. In the decoding process, the step of filtering is carried out with a deblocking loop method.

Description

technical field [0001] The invention belongs to the field of video compression coding, relates to compression coding of binocular stereoscopic video, in particular to a video compression coding method based on objects and fractals. Under the premise of ensuring that the peak signal-to-noise ratio PSNR remains basically unchanged, the computational complexity is greatly reduced and the compression ratio is improved, which lays the foundation for the real-time application of binocular stereo video coding and further improves the performance of fractal video compression coding . Background technique [0002] The concept of Object-Based (OB) coding was first proposed by the MPEG-4 standard. Using the object-based video compression coding method enables the foreground objects and background objects of each frame of video to be independently coded, which can further improve compression. At the same time, some new functions can be realized at the decoding end, such as independent ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26H04N7/50H04N13/00H04N19/597
Inventor 祝世平陈菊嫱王再阔侯仰拴
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com