EMBEDDING SIGN LANGUAGE INTERPRETATION OF A VIDEO IN THE WAVELET TRANSFORM DOMAIN (WedAmPO2)

Author(s) : Mohsen Ashourian (Azad University of Iran, Majlesi Branch, Iran)

Abstract : In this paper we propose a low complexity scheme for hiding sign language video signal in another video signal with higher resolution. We decompose the sign language video and the host video using three-dimensional wavelet transform, and embed the information of the sign language video based on their importance in different subbands of the host video. At the receiver the system reconstructs the sign language video by recovering the embedded data in various subbands. The developed system shows robustness in recovering the embedded video even when the host video undergone various type of signal processing operation.

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