Seethal Paluri

San Diego, CA, United States of America

Seethal Paluri

This inventor holds 203 USPTO granted patents and 91 published patent applications, plus 10 CIPO patents and 13 EPO patents, primarily in Image Coding (CPC class H04N19-176). Top assignees: Lg Electronics Inc., Nokia Technologies Oy, Guangdong Oppo Mobile Telecommunications Corp., Ltd.. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seethal Paluri. Retrieved from https://idiyas.com/inventor/seethal-paluri

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 203 

% Patents Active = 99.5

 

 

Average Co-Inventor Count = 3.0

ph-index = 4

Forward Citations = 79(Granted Patents)

Forward Citations (Not Self Cited) = 30(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • San Diego, CA (US) (2015)
  • Palo Alto, CA (US) (2021)
  • Seoul, KR (2021 - 2024)

Company Filing History:


Years Active: 2015-2026

Loading Chart...
Loading Chart...
Loading Chart...
Areas of Expertise:
Image Encoding
Image Decoding
Adaptive Loop Filter
Intra Prediction
Video Signal Processing
Chroma Quantization
Motion Vector Refinement
Palette Coding
Bitstream Transmission
Residual Processing
Scaling List
MDMVR
203 patents (USPTO):Explore Patents

Title: Innovations of Seethal Paluri in Video Technology

Introduction

Seethal Paluri is an accomplished inventor based in San Diego, California. He has made significant contributions to the field of video technology, particularly in the area of H.264 video bitstream processing. His innovative work focuses on improving video quality and efficiency through advanced predictive systems.

Latest Patents

Seethal Paluri holds a patent for a "Slice priority prediction system for H.264 video." This invention relates to systems and methods for prioritizing video slices of H.264 video bitstream. The system comprises a memory storage and a processing unit that executes a low complexity scheme to predict the expected cumulative mean squared error (CMSE) contributed by the loss of a slice of H.264 video bitstream. The processing unit assigns each slice a predicted value, extracts video parameters during the encoding process, and uses a generalized linear model to model CMSE as a linear combination of the video parameters. The model is constructed through a training phase that determines the distribution of the computed CMSE and generates regression coefficients for predicting expected CMSE values for each slice.

Career Highlights

Seethal Paluri is associated with the San Diego State University Research Foundation, where he applies his expertise in video technology. His work has been instrumental in advancing the understanding and implementation of video encoding techniques. His innovative approaches have garnered attention in the research community and have practical applications in various video processing scenarios.

Collaborations

Seethal has collaborated with notable colleagues such as Sunil Kumar and Barbara J Bailey. Their combined efforts contribute to the ongoing research and development in the field of video technology.

Conclusion

Seethal Paluri's contributions to video technology through his innovative patent demonstrate his commitment to enhancing video processing systems. His work not only advances academic research but also has practical implications for the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…