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Video streaming applications have become increasingly popular in the recent years, and their use will continue to grow in the future. However, variations in channel conditions cause delays and packet erasures resulting in degradation of Quality of Service (QoS). Multiple Description (MD) coding is one method to reduce the detrimental effects caused by these channel variations. In this paper we have presented a novel pre-processing MD approach, which makes use of the redundancies already present in the original sequence to create multiple descriptions. The proposed approach is compatible with the commonly used video coding standards such as the H.26x and MPEG. The proposed scheme improves performance in terms of the coding efficiency and error resiliency compared to the approaches present in the literature.

Content based image retrieval system has evolved off late as one of the demanding research area in the current age of information technology. Precision while retrieving images has been a main criterion for evaluation of retrieval techniques. Higher precision could be attained when matching prominent regions becomes a part of the retrieval system. We have developed a new technique to detect these prominent regions which would enhance the feature characteristics of an image thereby leading to higher precision in retrieval system.