View source for 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==

[[:Category:SHARP KABUSHIKI KAISHA|SHARP KABUSHIKI KAISHA]]


[[Category:SHARP KABUSHIKI KAISHA]]

==Inventor(s)==

[[:Category:Kiran Mukesh Misra of Vancouver WA (US)|Kiran Mukesh Misra of Vancouver WA (US)]][[Category:Kiran Mukesh Misra of Vancouver WA (US)]]

[[:Category:Frank Bossen of Vancouver WA (US)|Frank Bossen of Vancouver WA (US)]][[Category:Frank Bossen of Vancouver WA (US)]]

[[:Category:Christopher Andrew Segall of Vancouver WA (US)|Christopher Andrew Segall of Vancouver WA (US)]][[Category:Christopher Andrew Segall of Vancouver WA (US)]]

[[:Category:Sachin G. Deshpande of Vancouver WA (US)|Sachin G. Deshpande of Vancouver WA (US)]][[Category: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.

=== Unanswered Questions ===

=== 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.



[[Category:H04N19/117]]
[[Category:H04N19/186]]
[[Category:H04N19/46]]
[[Category:H04N19/70]]
[[Category:H04N19/82]]