Dr. Madhukar Budagavi Profile

Dr. Madhukar Budagavi

at SAMSUNG Research America

SPIE Involvement:

Author

Proceedings Article | 7 June 2024 Presentation + Paper

End-to-end system for real-time bidirectional holographic communication

Indranil Sinharoy, Madhukar Budagavi, Esmaeil Faramarzi, Saifeng Ni, Abhishek Sehgal

Proceedings Volume 13034, 1303404 (2024) https://doi.org/10.1117/12.3013045

KEYWORDS: Video, Video processing, Cameras, Video acceleration, Telecommunications, 3D displays, Video coding, Holography, Virtual reality, Video compression

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Proceedings Article | 22 September 2015 Paper

Coding efficiency improvements beyond HEVC with known tools

Alexander Alshin, Elena Alshina, Madhukar Budagavi, Kiho Choi, Junghye Min, Michael Mishourovsky, Yinji Piao, Ankur Saxena

Proceedings Volume 9599, 95991C (2015) https://doi.org/10.1117/12.2193683

KEYWORDS: Copper, Video, Optical flow, Video coding, Video compression, Quantization, Algorithm development, Spatial resolution, Smoothing, Computer programming

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Proceedings Article | 15 October 2012 Paper

Parallel tools in HEVC for high-throughput processing

Minhua Zhou, Vivienne Sze, Madhukar Budagavi

Proceedings Volume 8499, 849910 (2012) https://doi.org/10.1117/12.953686

KEYWORDS: Copper, Video, Parallel processing, Video coding, Motion estimation, Computer programming, Video processing, Standards development, Plutonium, Data centers

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HEVC (High Efficiency Video Coding) is the next-generation video coding standard being jointly developed by the ITU-T VCEG and ISO/IEC MPEG JCT-VC team. In addition to the high coding efficiency, which is expected to provide 50% more bit-rate reduction when compared to H.264/AVC, HEVC has built-in parallel processing tools to address bitrate, pixel-rate and motion estimation (ME) throughput requirements. This paper describes how CABAC, which is also used in H.264/AVC, has been redesigned for improved throughput, and how parallel merge/skip and tiles, which are new tools introduced for HEVC, enable high-throughput processing. CABAC has data dependencies which make it difficult to parallelize and thus limit its throughput. The prediction error/residual, represented as quantized transform coefficients, accounts for the majority of the CABAC workload. Various improvements have been made to the context selection and scans in transform coefficient coding that enable CABAC in HEVC to potentially achieve higher throughput and increased coding gains relative to H.264/AVC. The merge/skip mode is a coding efficiency enhancement tool in HEVC; the parallel merge/skip breaks dependency between the regular and merge/skip ME, which provides flexibility for high throughput and high efficiency HEVC encoder designs. For ultra high definition (UHD) video, such as 4kx2k and 8kx4k resolutions, low-latency and real-time processing may be beyond the capability of a single core codec. Tiles are an effective tool which enables pixel-rate balancing among the cores to achieve parallel processing with a throughput scalable implementation of multi-core UHD video codec. With the evenly divided tiles, a multi-core video codec can be realized by simply replicating single core codec and adding a tile boundary processing core on top of that. These tools illustrate that accounting for implementation cost when designing video coding algorithms can enable higher processing speed and reduce implementation cost, while still delivering high coding efficiency in the next generation video coding standard.

Proceedings Article | 26 February 2008 Paper

Fast adaptive early termination for mode selection in H.264/AVC standard based on x264 implementation

Jianfeng Ren, Nasser Kehtarnavaz, Madhukar Budagavi

Proceedings Volume 6811, 68110A (2008) https://doi.org/10.1117/12.767665

KEYWORDS: Video, Modulators, Video coding, Amplifiers, Distortion, Motion estimation, Edge detection, Carbon dioxide, Quantization, Digital signal processing

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Proceedings Article | 29 January 2007 Paper

Next generation video coding for mobile applications: industry requirements and technologies

Madhukar Budagavi, Minhua Zhou

Proceedings Volume 6508, 650813 (2007) https://doi.org/10.1117/12.707471

KEYWORDS: Video coding, Video, Standards development, Cameras, Digital cameras, Digital electronics, Digital filtering, Electronic filtering, Clocks, Motion estimation

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Conference Committee Involvement (1)

Real-Time Image Processing 2008

28 January 2008 | San Jose, California, United States

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