Franktown, CO, United States of America

Adam Morzos

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 1.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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5 patents (USPTO):Explore Patents

Title: Innovations by Adam Morzos in Compression Artifact Detection

Introduction

Adam Morzos is an accomplished inventor based in Franktown, Colorado, with a notable portfolio of five patents. His work primarily focuses on advancements in multimedia technology, particularly in the detection and remediation of compression artifacts.

Latest Patents

One of Adam Morzos's latest patents is titled "Systems and methods for compression artifact detection and remediation." This patent describes innovative systems and methods for identifying and addressing compression artifacts in multimedia items. The approach involves training a machine learning model on a dataset that includes both compression and non-compression artifacts. A data collection module gathers input data, which is then analyzed by a pattern recognition module. This module extracts visual and audio features from the multimedia item and provides these features to the trained machine learning model. The model compares the extracted features to its training data, generating a confidence value. If this value meets or exceeds a predetermined threshold, the input data is classified as containing at least one compression artifact, prompting remedial actions to enhance the system's performance.

Career Highlights

Adam Morzos is currently employed at Dish Network LLC, where he applies his expertise in multimedia technology. His contributions to the field have been significant, particularly in enhancing the quality of multimedia content through innovative detection methods.

Collaborations

Adam collaborates with Christopher William Bruhn, leveraging their combined expertise to further advancements in their projects.

Conclusion

Adam Morzos's work in the field of compression artifact detection showcases his innovative spirit and commitment to improving multimedia technology. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.

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