Qualcomm incorporated (20240114152). EXTENDED LOW-FREQUENCY NON-SEPARABLE TRANSFORM (LFNST) DESIGNS WITH WORST-CASE COMPLEXITY HANDLING simplified abstract
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 Unanswered Questions
- 1.11 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 20240114152 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 for the block, applying an inverse low-frequency non-separable transform (LFNST) to a subset of non-zero coefficients, and applying an inverse separable transform to reconstruct the residual values.
- The video decoder configures the number of allowed non-zero coefficients based on the block size.
- The dequantized coefficients are separated into a subset of non-zero coefficients and a subset of all zero coefficients.
- The LFNST is applied to the non-zero coefficients to determine an intermediate subset of coefficients.
- An inverse separable transform is then applied to reconstruct the block of residual values.
Potential Applications
This technology can be applied in video compression algorithms, streaming services, video editing software, and video surveillance systems.
Problems Solved
This technology helps in efficiently decoding video data by reducing the number of non-zero coefficients that need to be processed, leading to faster decoding and lower computational requirements.
Benefits
The benefits of this technology include improved video decoding performance, reduced processing time, and enhanced video quality.
Potential Commercial Applications
Potential commercial applications of this technology include video streaming platforms, video editing software companies, surveillance camera manufacturers, and telecommunications companies.
Possible Prior Art
One possible prior art in this field is the use of various transform techniques in video compression standards such as H.264 and H.265 to improve compression efficiency and video quality.
Unanswered Questions
How does this technology compare to existing video decoding methods in terms of efficiency and performance?
The article does not provide a direct comparison with existing video decoding methods to evaluate the efficiency and performance of this technology.
Are there any limitations or constraints in implementing this technology in real-world video decoding systems?
The article does not address any potential limitations or constraints that may arise when implementing this technology in practical video decoding systems.
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.
