Fremont, CA, United States of America

Te-Chien Chen


Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Fremont, CA (US) (2012 - 2017)
  • Taipei, TW (2005 - 2019)

Company Filing History:


Years Active: 2005-2019

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5 patents (USPTO):Explore Patents

Title: Te-Chien Chen: Innovator in Multi-Threaded Video Decoding

Introduction

Te-Chien Chen is a notable inventor based in Fremont, California, recognized for his contributions to the field of video decoding technology. With a total of five patents to his name, Chen has made significant advancements that enhance the efficiency and speed of video processing.

Latest Patents

One of Chen's latest patents is titled "Method and apparatus for multi-threaded video decoding." This innovative method utilizes a multi-threaded scheme to process an encoded picture stream on a picture-by-picture basis. The approach involves multiple threads performing video decoding simultaneously. For instance, one thread is responsible for parsing input bits into syntax elements of one picture, while another thread decodes the parsed syntax elements of a different picture into pixel values. Additional threads handle operations for non-reference pictures, such as bidirectional predictive pictures. This method substantially increases decoding speed and enhances overall decoding efficiency.

Career Highlights

Throughout his career, Te-Chien Chen has worked with prominent companies, including Corel Software LLC and Corel Corporation. His experience in these organizations has contributed to his expertise in video technology and innovation.

Collaborations

Chen has collaborated with notable individuals in his field, including Ioannis Katsavounidis and Yu-Nien Chien. These collaborations have likely fostered a creative environment that promotes technological advancements.

Conclusion

Te-Chien Chen's work in multi-threaded video decoding exemplifies the impact of innovative thinking in technology. His patents not only improve decoding efficiency but also pave the way for future advancements in video processing.

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