Follow
Gangadharan Esakki
Gangadharan Esakki
Dept. of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, USA
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
A unified and pipelined hardware architecture for implementing intra prediction in HEVC
Y Jiang, D Llamocca, M Pattichis, G Esakki
2014 Southwest Symposium on Image Analysis and Interpretation, 29-32, 2014
172014
Adaptive video encoding for different video codecs
G Esakki, AS Panayides, V Jalta, MS Pattichis
IEEE Access 9, 68720-68736, 2021
142021
A comparative performance evaluation of VP9, x265, SVT-AV1, VVC codecs leveraging the VMAF perceptual quality metric
G Esakki, A Panayides, S Teeparthi, M Pattichis
Applications of Digital Image Processing XLIII 11510, 181-191, 2020
142020
Dynamically reconfigurable architecture system for time-varying image constraints (drastic) for hevc intra encoding
Y Jiang, G Esakki, M Pattichis
2013 Asilomar Conference on Signals, Systems and Computers, 1112-116, 2013
82013
Optimal HEVC Encoding Based on GOP Configurations
G Esakki, V Jatla, M Pattichis
The Southwest Symposium on Image Analysis and Interpretation (SSIAI) 2016, 2016
42016
Dynamic Switching of GOP Configurations in High Efficiency Video Coding (HEVC) using Relational Databases for Multi-objective Optimization
G Esakki
University of New Mexico, 2014
4*2014
System and methods for joint and adaptive control of rate, quality, and computational complexity for video coding and video delivery
MS Pattichis, Y Jiang, Z Cong, G Esakki, V Jatla, A Panayides
US Patent 11,076,153, 2021
22021
Adaptive High Efficiency Video Coding Based on Camera Activity Classification.
G Esakki, V Jatla, MS Pattichis
DCC, 438, 2017
22017
Adaptive encoding for constrained video delivery in hevc, vp9, av1 and vvc compression standards and adaptation to video content
G Esakki
The University of New Mexico, 2020
12020
The system can't perform the operation now. Try again later.
Articles 1–9