The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Motion estimation, Quarter-pixel motion and Motion compensation. His Artificial intelligence research integrates issues from Multiview Video Coding, Video decoder, Inter frame and Video compression picture types. His work carried out in the field of Video decoder brings together such families of science as Macroblock and Soft-decision decoder.
His Quarter-pixel motion study combines topics from a wide range of disciplines, such as Motion field and Block-matching algorithm. His Motion compensation research incorporates themes from Reference frame and Control theory. His Reference frame study integrates concerns from other disciplines, such as Compensation, Quantization, Header, Bitstream and Decodes.
Thomas W. Holcomb focuses on Artificial intelligence, Computer vision, Decoding methods, Video decoder and Macroblock. The concepts of his Artificial intelligence study are interwoven with issues in Frame, Residual frame and Decodes. His Computer vision research is multidisciplinary, incorporating elements of Codec and Block-matching algorithm.
His Decoding methods study combines topics in areas such as Entropy and Speech recognition. The Video decoder study combines topics in areas such as Scalable Video Coding and Soft-decision decoder. His study in Macroblock is interdisciplinary in nature, drawing from both Pixel, Polarity and Coding tree unit.
His scientific interests lie mostly in Computer vision, Artificial intelligence, Decoding methods, Motion compensation and Video decoder. His work in Computer vision is not limited to one particular discipline; it also encompasses Transcoding. His research in the fields of Macroblock overlaps with other disciplines such as Integrally closed and Block.
His Motion compensation research includes themes of Multiview Video Coding, Video encoding, Motion estimation, Real-time computing and Block-matching algorithm. The Multiview Video Coding study which covers Quarter-pixel motion that intersects with Inter frame, Residual frame and Video compression picture types. His Video decoder research includes elements of Sampling, Codec and Sample.
Thomas W. Holcomb mainly focuses on Computer vision, Artificial intelligence, Real-time computing, Motion compensation and Temporal complexity. His study of Motion estimation is a part of Computer vision. Thomas W. Holcomb is studying Quarter-pixel motion, which is a component of Artificial intelligence.
His Real-time computing research incorporates elements of Macroblock, Decoding methods, Video decoder, Pixel and Sum of absolute transformed differences. His Motion compensation study necessitates a more in-depth grasp of Algorithm. Temporal complexity is integrated with Quantization, Transcoding and Image resolution in his study.
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Spatial extrapolation of pixel values in intraframe video coding and decoding
Pohsiang Hsu;Chih-Lung Lin;Ming-Chieh Lee;Thomas W. Holcomb.
Coding of motion vector information
Sridhar Srinivasan;Pohsiang Hsu;Thomas W. Holcomb;Kunal Mukerjee.
Multiple bit rate video encoding using variable bit rate and dynamic resolution for adaptive video streaming
Lin Chih-Lung;Gu Chuang;Chan Chun-Wei;Mehrotra Sanjeev.
Chroma motion vector derivation for interlaced forward-predicted fields
Thomas W. Holcomb.
Intraframe and interframe interlace coding and decoding
Pohsiang Hsu;Bruce Chih-Lung Lin;Thomas W. Holcomb;Kunal Mukerjee.
Predicting motion vectors for fields of forward-predicted interlaced video frames
Holcomb Thomas W.
Multi-resolution video coding and decoding
Thomas W. Holcomb;Shankar Regunathan;Chih-lung Bruce Lin;Sridhar Srinivasan.
Motion vector block pattern coding and decoding
Pohsiang Hsu;Sridhar Srinivasan;Holcomb Thomas W;Chih-Lung Lin.
Dynamic selection of motion estimation search ranges and extended motion vector ranges
Zhang Zheng;Lin Chih-Lung;Holcomb Thomas W.
Video encoding using previously calculated motion information
Chuang Gu;Chun-Wei Chan;William Chen;Stacey Spears.
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