This paper describes the Whiteboard capture and processing for E-Learning (WCPEL) system which captures video images, classifies the pixels into whiteboard background, pen strokes and foreground objects (e. g. , people in front of the whiteboard), extracts newly written pen strokes, and corrects the color to make the whiteboard completely white. It improves captured content by correcting perspective distortion, by improving image contrast, and by compensating for changes due to light levels and for people moving through the field of view of the camera. This allows us to transmit whiteboard contents using very low bandwidth to remote meeting participants. Combined with other teleconferencing tools such as voice conference and application sharing, our system becomes a powerful tool to share ideas during online meetings. In this paper, we present a new system that combines the affordances of existing whiteboards with complementary digital tools that facilitate the retrieval, reflection removal, and use of whiteboard content long after its initial creation, whether or not it is still on the board. This system captures whiteboard content without explicit intervention from the user and stores content along with the modified video.

Data capture Processing Playback Key Frame Extraction Color Enhancement Filtering White Board Color Extraction Reference frame Foreground objects