This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Qualcomm Incorporated. Active years: 2012-2013.
Company Filing History:
Years Active: 2012-2013
Title: Kannan Ramachandran: Innovator in Video Codec Technology
Introduction
Kannan Ramachandran is a notable inventor based in El Cerrito, California. He has made significant contributions to the field of video coding technology, holding 2 patents that enhance the robustness of predictive video codecs. His work focuses on improving data coding performance, particularly in the presence of channel errors or losses.
Latest Patents
One of Kannan's latest patents is a method, apparatus, and system for enhancing the robustness of predictive video codecs using a side-channel based on distributed source coding techniques. This innovation provides a solution for improving data coding performance, especially for video data, when faced with channel errors or losses. By sending extra information, the errors in the reconstruction of the data can be eliminated or reduced. The correlation between a predicted sequence and an original sequence is utilized to design codebooks and find the cosets required to represent the original image. This critical information may be transmitted over another channel or a secondary channel.
Career Highlights
Kannan Ramachandran is currently employed at Qualcomm Incorporated, a leading company in the telecommunications and semiconductor industry. His work at Qualcomm has allowed him to focus on cutting-edge technologies that push the boundaries of video coding and data transmission.
Collaborations
Kannan has collaborated with several talented individuals in his field, including Harinath Garudadri and Naveen B Srinivasamurthy. These collaborations have contributed to the advancement of innovative solutions in video codec technology.
Conclusion
Kannan Ramachandran's contributions to video coding technology through his patents and work at Qualcomm highlight his role as an influential inventor in the industry. His innovative methods continue to enhance data coding performance, making significant strides in the field.
