17766322. SYSTEMS AND METHODS FOR REDUCING A RECONSTRUCTION ERROR IN VIDEO CODING BASED ON A CROSS-COMPONENT CORRELATION simplified abstract (SHARP KABUSHIKI KAISHA)

SYSTEMS AND METHODS FOR REDUCING A RECONSTRUCTION ERROR IN VIDEO CODING BASED ON A CROSS-COMPONENT CORRELATION

Organization Name

SHARP KABUSHIKI KAISHA

Inventor(s)

Kiran Mukesh Misra of Vancouver WA (US)

Frank Bossen of Vancouver WA (US)

Christopher Andrew Segall of Vancouver WA (US)

Sachin G. Deshpande of Vancouver WA (US)

SYSTEMS AND METHODS FOR REDUCING A RECONSTRUCTION ERROR IN VIDEO CODING BASED ON A CROSS-COMPONENT CORRELATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17766322 titled 'SYSTEMS AND METHODS FOR REDUCING A RECONSTRUCTION ERROR IN VIDEO CODING BASED ON A CROSS-COMPONENT CORRELATION

Simplified Explanation

The method disclosed in the abstract involves filtering reconstructed video data using cross-component filter coefficients. Here is a simplified explanation of the patent application:

• Parsing a syntax element for setting filter coefficients
• Inputting a reconstructed luma picture sample array
• Deriving luma locations based on current chroma sample
• Deriving filter coefficient array using cross-component coefficients
• Deriving a variable using filter coefficients and luma picture samples
• Deriving a scaled variable by modifying the variable with a sum of a sample of a current chroma block

Potential Applications

This technology could be applied in video compression algorithms, image processing software, and video editing tools.

Problems Solved

This technology helps improve the quality of reconstructed video data by applying cross-component filter coefficients, leading to better visual output.

Benefits

The benefits of this technology include enhanced video quality, reduced artifacts in reconstructed video data, and improved compression efficiency.

Potential Commercial Applications

Potential commercial applications of this technology include video streaming services, video surveillance systems, and multimedia content creation tools.

Possible Prior Art

One possible prior art could be the use of similar filtering techniques in video encoding and decoding processes to enhance video quality and compression efficiency.

How does this method compare to existing video filtering techniques?

This article does not provide a direct comparison to existing video filtering techniques, leaving the reader to wonder about the specific advantages or disadvantages of this method in relation to others.

What impact could this technology have on the video production industry?

The article does not discuss the potential impact of this technology on the video production industry, leaving the reader to speculate about its implications for professionals in this field.

Original Abstract Submitted

A method of filtering reconstructed video data is disclosed. The method comprising: parsing a first syntax element used for setting cross-component filter coefficients; inputting a reconstructed luma picture sample array; deriving luma locations by using location corresponding to a current chroma sample; deriving a filter coefficient array by using the cross-component filter coefficients; deriving a variable by using the filter coefficient array and the reconstructed luma picture sample array defined by the luma locations; and deriving a scaled variable by using the variable, wherein the variable is modified by a sum of a sample of a current chroma block, which is defined by a predetermined location, and the scaled variable.