Company Filing History:
Years Active: 2012-2015
Title: Innovations by Zhengye Liu
Introduction
Zhengye Liu is a notable inventor based in Brooklyn, NY (US). He has made significant contributions to the field of multimedia data streaming and video multicasting over wireless networks. With a total of 4 patents, his work has advanced the technology used in video transmission and error correction.
Latest Patents
One of his latest patents is titled "Adaptive joint source and channel coding scheme for H.264 video multicasting over wireless networks." This invention involves calculating a real packet loss rate at the end of a time slot, estimating the average packet loss rate for subsequent time slots, and dynamically allocating available bandwidth for video multicast. It includes selecting an intra-frame rate, determining a packet loss rate threshold, and adapting quantization parameters for optimal video encoding and transmission.
Another significant patent is the "Method and apparatus for streaming scalable multimedia data streams." This method describes receiving coded packets of content, applying hybrid automatic repeat requests based on feedback regarding channel conditions, and scheduling the delivery of layered coded content packets. This innovation enhances the reliability of multimedia streaming by ensuring efficient data delivery even under varying channel conditions.
Career Highlights
Zhengye Liu has worked with prominent organizations such as Thomson Licensing and New York University. His experience in these institutions has allowed him to collaborate on various projects that push the boundaries of multimedia technology.
Collaborations
He has collaborated with notable colleagues, including Yao Rong Wang and Hang Liu, contributing to advancements in their respective fields.
Conclusion
Zhengye Liu's innovative work in multimedia data streaming and video multicasting has made a significant impact on the industry. His patents reflect a deep understanding of technology and a commitment to improving video transmission methods.