18532808. EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING simplified abstract (QUALCOMM Incorporated)
Contents
- 1 EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING
Organization Name
Inventor(s)
Hilmi Enes Egilmez of San Diego CA (US)
Vadim Seregin of San Diego CA (US)
Marta Karczewicz of San Diego CA (US)
EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18532808 titled 'EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING
Simplified Explanation
The abstract describes a method for video decoding that involves determining the number of allowed non-zero coefficients for a block of video data, obtaining dequantized coefficients, applying transforms, and reconstructing residual values.
- Video decoder configured to determine number of allowed non-zero coefficients based on block size
- Obtain set of dequantized coefficients with non-zero and zero coefficients
- Apply inverse low-frequency non-separable transform to non-zero coefficients
- Apply inverse separable transform to intermediate coefficients and some zero coefficients to reconstruct residual values
Potential Applications
This technology can be applied in video compression, streaming services, video editing software, and virtual reality applications.
Problems Solved
- Efficient video decoding - Reduction of data size for storage and transmission - Improved video quality and compression ratios
Benefits
- Faster video decoding process - Enhanced video quality with reduced artifacts - More efficient use of storage and bandwidth resources
Potential Commercial Applications
Optimizing video streaming services, improving video editing software, enhancing virtual reality experiences, and advancing video compression technologies.
Possible Prior Art
One possible prior art could be the use of similar transform techniques in video compression standards like H.264 or H.265.
Unanswered Questions
How does this technology compare to existing video decoding methods in terms of efficiency and quality?
This article does not provide a direct comparison with existing video decoding methods in terms of efficiency and quality. Further research or testing may be needed to determine the specific advantages of this technology over others.
What impact could this technology have on the video streaming industry in terms of cost and performance?
The article does not address the potential cost implications or performance improvements that this technology could bring to the video streaming industry. Additional analysis or case studies may be required to assess the full impact on the industry.
Original Abstract Submitted
A video decoder can be configured to determine a number of allowed non-zero coefficients for a block of video data based on a size of the block; obtain a set of dequantized coefficients for the block, wherein the set of dequantized coefficients comprises a first subset of dequantized coefficients that includes non-zero dequantized coefficients and a second subset of dequantized coefficients that includes all zero coefficients, wherein a number of coefficients in the first subset of dequantized coefficients is equal to the number of allowed non-zero coefficients for the block of video data; apply an inverse low-frequency non-separable transform (LFNST) to the first subset of dequantized coefficients to determine a first intermediate subset of coefficients; and apply an inverse separable transform to the first intermediate subset of coefficients and at least a portion of the second subset of coefficients to determine a block of reconstructed residual values.
