Geetha Ramasubbu

- Implemented adaptive temporal downsampling for bitrate and energy savings - Performed feature extraction for high frame rate video sequences - Implemented a feature-based supervised machine learning approach for optimal frame rate selection for high frame rate video sequences Tech: MATLAB, Python, Image and Video Compression, Machine Learning, OpenCV, FFmpeg, HEVC (H.265), scikit-learn, Pandas, NumPy

- Implemented matched quality evaluation for temporally downsampled Videos with non-integer factors - Investigated the impact of frame rate reduction on video quality - Performed a study of the impact of compression on frame rate reduced videos Tech: MATLAB, Image and Video Compression, FFmpeg, HEVC (H.265)

- Performed a Review on Psychoacoustic models - Implemented Quantization module in frequency domain long term prediction - Implemented a python wrapper for Probabilistic YIN in C for fundamental frequency extraction using CFFI Tech: C/C++, Python, Auditory Models, Digital Signal Processing, FFmpeg

- Developed Web based and Enterprise Applications using Java/ J2EE - Developed WSDL for soap based web services - Developed and maintained frontend using HTML/CSS, and Javascript - Designed and coded database tables to store the application’s data - Performed integration and unit tests - Tracked issues and version control using Git Tech: Java, J2EE, HTML/CSS, SOAP Webservices, DB2, Maven, Jenkins

Courses: Image and Video Compression Image, Video and Multidimensional Signal Processing Auditory Models Digital Signal Processing Machine Learning in Signal Processing Medical Image Processing for Diagnostic Applications Medical image Processing for Interventional Applications

Electronics and Communication Engineering