This was the post lunch session started at 1:30pm.
It was commence by Professor Namrata Dave briefing us about Digital Image Processing. Moving
ahead she clarified the ambiguity between the terms
such as Image Processing, Computer Vision and Computer Graphics. She told us about how we can apply Digitization on an image using Sampling and Quantization. She taught us about various compression algorithms such as PNG, JPEG, e
tc. Further she throws some light on what is Pre-Processing and its variou s functions. Moving ahead
importance of Segmentation, Histogram qualization
and thresholding was alsotaught.Then the session continues with the introduction of Matlab (Matrix Laboratory). Here Matlab?s structural view and its various funct ionalities were informed.This was indeed a very informative session.The second session started at 3:30 pm by Professor
Hetal Gaudani imparting knowledge on how we can enhance the features of Image Processing by using
Big Data. First she gave us the additional informat
ion on Image Processing.Here we were briefed about HSV color space and YCbCr model used in cricket video summarization. She gave us the detail description on cricket video object.
She also discussed about feature extraction and shot frame characterization used in the application. Further discussion on the topic leads us to basics of OpenCL library, cluster computing and Hadoop framework. Concluding the workshop, a QandA session was held where students showed
enthusiasm and asked interesting question.
As the first session benefitted the student by intr
oducing them on basics of image and image processing, second session took us to the real life applications.