Author : Dr.Abraham Mathew 1
Date of Publication :7th March 2017
Abstract: Content-based image retrieval (CBIR), also known as Query by Image Content (QBIC) and Content-Based Visual Information Retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. The term 'content' in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. To retrieve images, users provide the retrieval system with example images. Search results then can be sorted based on their distance to the queried image. The traditional approach of analyzing the condition of a road pavement surface is by manual method. Manual method is time consuming, unreliable, subjective, costly and less efficient. Hence instead of relying the traditional approach, this research proposes a cost effective video based technique which can overcome the drawbacks of the conventional method. Image and video processing have been revolutionized the fields of medicine, space exploration, surveillance, geology, oceanography and it is also a well sought after area, for active research. People will retain only 20% of what they hear and about 30% of what they see, but they remember 50% of what they see and hear, also they will be able to retain as much as 80% of what they see, hear and do simultaneously. This is why multimedia is a powerful tool for various fields. In this research , various hybrid technique is applied to a captured input video to detect the cracks in a road surface.
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