U. S. N. Raju

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This paper presents an approach for implementing Content Based Image Retrieval (CBIR) on Hadoop MapReduce framework. Although any algorithm can be used for the actual retrieval (provided it can be parallelized), in this paper, we discuss the approach of Local Tetra Patterns (LTrPs). The MapReduce implementation details presented here can be used for most(More)
BACKGROUND Lymph node (LN) histopathologic class has been shown to be a significant determinant of survival in patients with mycosis fungoides. Often, histopathologic evaluation of just 1 node is used in staging patients with cutaneous T-cell lymphoma. OBJECTIVE We examined whether sampling multiple nodes alters the staging and prognostic group placement(More)
This paper presents an efficient image authentication system. The authentication signature is extracted from WFA encoding of the image. For noises that are more textural rather than color-based, we transform the image using a Local-Binary-Pattern filter, which is then converted to automata. We present a technique that incorporates the weights of the WFA,(More)
In this paper we introduce a novel and simple image segmentation schemes that are based on combinations of morphological and statistical operations. Mathematical morphology is very attractive for this purpose because it efficiently deals with geometrical features like as size, shape, contrast or connectivity that can be considered as segmentation oriented(More)
In this paper, we explore the algorithm for WFA inference from images, and its possibilities. We also provide a brief introduction into Hadoop and its application in image processing. Hadoop MapReduce framework can be extended to work with WFA based compression of images, as the data set of images is very huge.
The Digital Watermarking can be used to hide an image over a cover image and also for copyright protection. In particular, digital image watermarking algorithms based on DCT and DWT are most preferable than others. In this paper a hybrid watermarking technique has been introduced which combines DCT and DWT to produce the watermarked image. The proposed(More)
Video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching. In this we try to(More)
In the emerging era of technology filled with multimedia sources video lecturing is becoming increasingly significant. The detection of objects in such systems is crucial for application areas such as identification of person, gender, event and other non-living things. This paper throws some light on adopting the methods to handle such Big video data using(More)
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