Block matching is the most efficient technique for motion estimation (ME) in video compression and there are many algorithms to implement block matching. This paper discusses the block matching algorithms based on dif...
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Verbal-guided image parsing is the window to the coming generation of luxurious ease, when all the remote controls that we need for the array of electronics we own come together at one place, with no need of going thr...
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The absconding behaviour of a patient or leaving the hospital against medical advice is a matter of concern as in the both situations it might create risk for the patients, the people around them and for the hospital....
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This paper aims to discuss the problems regarding the security of home automation systems and highlight all the shortcomings in implementing such systems. Home automation systems are the future of context-aware and en...
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We are currently in the Information Age where massive amounts of data is being collected and analyzed to find interesting and frequent patterns. The need for mining data has been steadily increasing over the past few ...
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The factors that are affecting the world are terrorism, economy, political changes, pollution, etc. Out of which terrorism is one the biggest factor which is affecting the economy, society along with loss of precious ...
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In video compression, the most efficient technique for motion estimation is Block Matching and there are many algorithms to implement it. In this paper, two such algorithms are discussed, which are based on Differenti...
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Several polices for differently abled is implemented by Indian Government. With an objective of making India disabled free by bridging the gap between the Government and disabled people this paper conducted a survey. ...
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Assessments of pesticide impacts globally and holistic policies to address them require accurate pesticide use data, but good use data are difficult to find. For comparable estimates across countries, researchers and ...
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One of the important parts of computer vision is segmenting an image into various uses. The key objective of any segmentation technique is to stop the segmentation at a point beyond which it is unnecessary. The images...
One of the important parts of computer vision is segmenting an image into various uses. The key objective of any segmentation technique is to stop the segmentation at a point beyond which it is unnecessary. The images in which objects are surrounded by asymmetric background show all the edges of the background too, when traditional techniques of edge detection were used. Hence, it was difficult to recognize the actual components in the image. This paper is about the use of preprocessing techniques so that we can refine the result and obtain only the edges which are necessary excluding the background noise. The designing and testing of all the methods have been done on MATLAB software.
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