Thornhill, Canada

Daniel W Wong


Average Co-Inventor Count = 1.9

ph-index = 5

Forward Citations = 107(Granted Patents)


Location History:

  • Cupertino, CA (2006)
  • North York, CA (2000 - 2009)
  • Thornhill, CA (2007 - 2011)

Company Filing History:


Years Active: 2000-2011

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11 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Daniel W Wong

Introduction

Daniel W Wong is a prominent inventor based in Thornhill, CA. He has made significant contributions to the field of video technology, holding a total of 11 patents. His work focuses on enhancing video decoding methods and apparatuses, showcasing his expertise in programmable shader technology.

Latest Patents

One of his latest patents is the "Programmable shader-based motion compensation apparatus and method." This invention involves a video decoding method that utilizes a motion compensation shader command for a programmable shader in a 3D pipeline. This approach allows for motion compensation in encoded video without the need for dedicated hardware, thus streamlining the decoding process. Another notable patent is the "Method and de-interlacing apparatus that employs recursively generated motion history maps." This invention features a de-interlacer that generates motion history maps based on pixel intensity information from neighboring fields, improving the quality of de-interlacing interlaced fields.

Career Highlights

Throughout his career, Daniel has worked with notable companies such as ATI Technologies Inc. and ATI Technologies ULC. His experience in these organizations has contributed to his innovative approach to video technology.

Collaborations

Daniel has collaborated with several professionals in his field, including Milivoje M Aleksic and Philip L Swan. These collaborations have likely enriched his work and led to further advancements in video technology.

Conclusion

Daniel W Wong's contributions to video technology through his patents and collaborations highlight his role as an influential inventor. His innovative methods continue to shape the future of video decoding and processing.

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