Proposal and implementation of a novel scheme for image and emotion recognition using Hadoop

The digital media especially social media is very popular in recent time. Due to which we have more number of videos than before. These videos are generally not tagged and classified. This paper aims for parallel video processing in Hadoop for fast processing and automatic tag emotions. This system recognizes face and tag emotions automatically on hadoop clusters for fast and efficient performance. This will make human work easier in classification of videos and processing on parallel system make it quick.