Cheng-Tie Chen

Title: Innovations of Cheng-Tie Chen in Video Coding Technologies.

Introduction

Cheng-Tie Chen is a notable inventor based in Bridgewater Township, NJ (US). He has made significant contributions to the field of video coding, holding a total of 3 patents. His work focuses on enhancing video compression techniques, which are crucial for efficient data transmission.

Latest Patents

One of his latest patents is titled "Pseudo-constant bit rate video coding with quantization parameter." This invention describes a method for coding video frames using a coding circuit that includes a processor for performing an orthogonal transform, such as a discrete cosine transform. The quantizer in this circuit quantizes the resulting transform coefficients. The coding circuit generates code bits at a variable rate, which are stored in a rate buffer and transmitted at a pseudo-constant rate. This method ensures that the contents of the rate buffer remain within predetermined limits by periodically adjusting the quantization parameters. Another significant patent is "Adaptive transform coding using variable block size." This adaptive transform coding algorithm utilizes a quadtree-based variable block size discrete cosine transform to achieve an optimal balance between bit rate and image quality. The algorithm selects the appropriate block size based on a mean-based decision rule, which enhances visual quality by discriminating various image contents.

Career Highlights

Cheng-Tie Chen is associated with Bell Communications Research, Inc., where he has been instrumental in advancing video coding technologies. His innovative approaches have contributed to the efficiency and quality of video transmission.

Collaborations

Cheng-Tie Chen has collaborated with notable colleagues, including Andria H Wong and Didier J LeGall, further enriching his research and development efforts in the field.

Conclusion

Cheng-Tie Chen's contributions to video coding technologies demonstrate his expertise and innovative spirit. His patents reflect a commitment to improving video compression methods, which are essential for modern communication systems.