Company Filing History:
Years Active: 2019-2023
Title: Igor Vytyaz: Innovator in Data Compression Technologies
Introduction
Igor Vytyaz is a notable inventor based in San Jose, CA, who has made significant contributions to the field of data compression technologies. With a total of 2 patents, his work focuses on enhancing the efficiency of data representation, particularly in the context of triangular mesh attributes.
Latest Patents
One of Igor's latest patents is titled "Efficient compression of data representing triangular mesh attributes." This innovative technique involves generating a neighborhood table that represents a neighborhood of a predicted vertex of a triangle within a triangular mesh. The method utilizes a machine-learning engine to predict the value of a vertex, storing the residual between the prediction and the actual value in an array. This data can then be compressed and transmitted over a network, allowing for efficient data handling. Upon receipt, the data can be decompressed, and the actual value can be obtained by generating the same neighborhood table and adding the predicted value to the residual.
Another significant patent is the "Geometry encoder." This method includes receiving geometric data to be encoded and generating a signature based on properties associated with the data. It involves enumerating options for encoding and decoding the geometric data, determining performance metrics, and training a regressor based on these parameters. This approach enhances the efficiency of both encoding and decoding processes.
Career Highlights
Igor Vytyaz is currently employed at Google Inc., where he continues to develop innovative solutions in data compression. His work is instrumental in advancing the capabilities of machine learning applications and improving data transmission efficiency.
Collaborations
Igor has collaborated with notable colleagues, including Michael Hemmer and Ameesh Makadia, contributing to a dynamic and innovative work environment.
Conclusion
Igor Vytyaz stands out as a key figure in the realm of data compression technologies, with his patents reflecting a commitment to innovation and efficiency. His contributions are paving the way for advancements in how data is processed and transmitted in various applications.