Ajit Venkat Rao
Texas Instruments
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Publication
Featured researches published by Ajit Venkat Rao.
IEEE Transactions on Circuits and Systems for Video Technology | 2011
Ajit Deepak Gupte; Bharadwaj Amrutur; Mahesh Mehendale; Ajit Venkat Rao; Madhukar Budagavi
Large external memory bandwidth requirement leads to increased system power dissipation and cost in video coding application. Majority of the external memory traffic in video encoder is due to reference data accesses. We describe a lossy reference frame compression technique that can be used in video coding with minimal impact on quality while significantly reducing power and bandwidth requirement. The low cost transformless compression technique uses lossy reference for motion estimation to reduce memory traffic, and lossless reference for motion compensation (MC) to avoid drift. Thus, it is compatible with all existing video standards. We calculate the quantization error bound and show that by storing quantization error separately, bandwidth overhead due to MC can be reduced significantly. The technique meets key requirements specific to the video encode application. 24-39% reduction in peak bandwidth and 23-31% reduction in total average power consumption are observed for IBBP sequences.
IEEE Transactions on Speech and Audio Processing | 2003
Ajit Venkat Rao; Sassan Ahmadi; Jan Linden; Allen Gersho; Vladimir Cuperman; Ryan Heidari
A novel paradigm based on pitch-adaptive windows is proposed for solving the problem of encoding the fixed codebook excitation in low bit-rate CELP coders. In this method, the nonzero excitation in the fixed codebook is substantially localized to a set of time intervals called windows. The positions of the windows are adaptive to the pitch peaks in the linear prediction residual signal. Thus, high coding efficiency is achieved by allocating most of the available FCB bits to the perceptually important segments of the excitation signal. The pitch-adaptive method is adopted in the design of a novel multimode variable-rate speech coder applicable to CDMA-based cellular telephony. Results demonstrate that the adaptive windows method yields excellent voice quality and intelligibility at average bit-rates in the range of 2.5-4.0 kbps.
international conference on vlsi design | 2010
Ajit Venkat Rao
Video codec standards incorporate complex toolsets of algorithms that allow flexible trade-offs between compression efficiency, latency, and error resilience on one hand and power consumption, cost and memory bandwidth on the other. In this tutorial, we survey the most important video codec tools, the end-application scenarios they apply to, and their impact on the codec implementation architecture.
Archive | 1998
Ajit Venkat Rao; Wilfrid P. LeBlanc
Archive | 2010
Ajit Venkat Rao; Soyeb Nagori; Manoj Koul; Zhan Ma; Do-Kyoung Kwon
Archive | 2009
Soyeb Nagori; Ajit Venkat Rao; Manoj Koul
Archive | 2008
Ajit Deepak Gupte; Mahesh Mehendale; Hetul Sanghvi; Ajit Venkat Rao
Archive | 2009
Soyeb Nagori; Ajit Venkat Rao
Archive | 2006
Ajit Venkat Rao; Pankaj Rabha
Archive | 1997
Wilfrid P. LeBlanc; Ajit Venkat Rao; ブイ ラオ アジト; ピー.レブラン ウィルフリート