Abstract
Medical video repositories play important roles for many health-related issues such as medical imaging, medical research and education, medical diagnostics and training of medical professionals. Due to the increasing availability of the digital video data, indexing, annotating and the retrieval of the information are crucial. Since performing these processes are both computationally expensive and time consuming, automated systems are needed. In this paper, we present a medical video segmentation and retrieval research initiative. We describe the key components of the system including video segmentation engine, image retrieval engine and image quality assessment module. The aim of this research is to provide an online tool for indexing, browsing and retrieving the neurosurgical videotapes. This tool will allow people to retrieve the specific information in a long video tape they are interested in instead of looking through the entire content.
Highlights
Developing countries suffer from lack of access to the medical expertise
We describe the key components of the system including video segmentation engine, image retrieval engine and image quality assessment module
Image quality assessment is an important part of content delivery over networks since network conditions vary for individual users and digital images are subject to a wide variety of distortions during processing, storage and transmission, any of which may result in a degradation of visual quality [8,11]
Summary
Developing countries suffer from lack of access to the medical expertise. Limitations in accessing to the medical expertise may exist in small regional hospitals & health-care centers in rural places in developed countries. Since only a few fortunate ones get a chance to be with these experts to see how they perform such complex operations. With this service the boundaries can be expended so that [1]. The educational needs of medical students can be provided by allowing access. The foundation for future research related to simulation technology can be constructed The system has 3 main components which are video segmentation engine, image retrieval engine and image quality assessment module
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