Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gargi Srivastava"'
Autor:
Sajal Agarwal, Gargi Srivastava
Publikováno v:
2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT).
Publikováno v:
Optical and Quantum Electronics. 54
In this study authors worked to attain a metamaterial absorber for visible and infrared region using bismuth as its main constituent material. Proposed absorber would be used for various applications; solar cell, communication etc. To model the metam
Autor:
Gargi Srivastava, Rajeev Srivastava
Publikováno v:
International Journal of Imaging Systems and Technology. 31:2123-2135
Autor:
Mark F. Cesta, Vivian S. Chen, Gargi Srivastava, Rajesh Ugalmugle, Kristen Hobbie, Heath C. Thomas, Thomas J Steinbach, Caroll A. Co, Emily Singletary, Keith R. Shockley, Debra A Tokarz, Avinash Lokhande, Torrie A. Crabbs
Publikováno v:
Toxicol Pathol
Rodent progressive cardiomyopathy (PCM) encompasses a constellation of microscopic findings commonly seen as a spontaneous background change in rat and mouse hearts. Primary histologic features of PCM include varying degrees of cardiomyocyte degenera
Autor:
Rajeev Srivastava, Gargi Srivastava
Publikováno v:
Signal, Image and Video Processing. 15:861-869
Automatic image annotation is the process of providing tags to salient objects in the image. The aim is achieved by first identifying salient objects. For this, the traditional gradient vector flow (GVF) model is modified to incorporate saliency by a
Autor:
Gargi Srivastava, Rajeev Srivastava
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-24
In this article, a general framework of image annotation is proposed by involving salient object detection (SOD), feature extraction, feature selection, and multi-label classification. For SOD, Augmented-Gradient Vector Flow (A-GVF) is proposed, whic
Autor:
Rajeev Srivastava, Gargi Srivastava
Publikováno v:
Multimedia Tools and Applications. 79:13599-13619
In the field of computer vision, scene analysis is a very important area of study. To analyze the scene present in an image, in this paper, the attempt is to enhance salient object information with background information. For this, the Generalized Gr
Autor:
Gargi Srivastava, Sajal Agarwal
Publikováno v:
Terahertz Devices, Circuits and Systems ISBN: 9789811941047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58071b46d1dca144dd4bdf4e5636511a
https://doi.org/10.1007/978-981-19-4105-4_16
https://doi.org/10.1007/978-981-19-4105-4_16
Autor:
Rajeev Srivastava, Gargi Srivastava
Publikováno v:
IEEE MultiMedia. 26:7-16
Scene analysis is a relevant research field for its several applications in the area of computer vision. This paper attempts to analyze scene information present in the image by augmenting salient object information with background information. The s
Autor:
Rajeev Srivastava, Gargi Srivastava
Publikováno v:
Journal of Visual Communication and Image Representation. 62:330-339
Salient object detection is the process of identifying essential objects in an image. This paper solves this problem using background subtraction, Gabor filters, minimum directional backgroundness, and objectness. The first step is to calculate a bac