Arunkumar Mohananchettiar

Title: Arunkumar Mohananchettiar: Innovator in Multimedia Data Streams

Introduction

Arunkumar Mohananchettiar is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of multimedia data streaming and coding. With a total of two patents to his name, his work focuses on enhancing the efficiency and reliability of multimedia data transmission.

Latest Patents

Arunkumar's latest patents include innovative methods for improving multimedia data streams. One of his patents, titled "Placement of repair packets in multimedia data streams," describes a method for delivering multimedia data by determining the frequency and placement of repair packets based on configuration parameters. This method ensures that the multimedia data stream is transmitted effectively, even in the presence of potential data loss. Another patent, "Multi-distribution entropy modeling of latent features in image and video coding using neural networks," outlines systems and methods for entropy modeling using probability density functions. This approach allows for more efficient image and video coding by signaling compliant decoders about the multi-distribution entropy model.

Career Highlights

Arunkumar currently works at Dolby Laboratories Licensing Corporation, a company renowned for its advancements in audio and multimedia technologies. His role involves developing innovative solutions that enhance multimedia experiences for users worldwide. His expertise in multimedia data streaming has positioned him as a valuable asset in the industry.

Collaborations

Arunkumar collaborates with talented professionals in his field, including coworkers Jay Nitin Shingala and Peng Yin. Their combined efforts contribute to the development of cutting-edge technologies in multimedia data processing.

Conclusion

Arunkumar Mohananchettiar is a distinguished inventor whose work in multimedia data streams has the potential to revolutionize how we experience digital content. His patents reflect a deep understanding of the complexities involved in multimedia transmission and coding.