Recent trends in signal and image processing : ISSIP 2020 /

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Bibliographic Details
Meeting name:ISSIP (Conference) (3rd : 2020 : Kolkata, India)
Imprint:Singapore : Springer, 2021.
Description:1 online resource (167 p.).
Language:English
Series:Advances in Intelligent Systems and Computing ; v. 1333
Advances in intelligent systems and computing ; 1333.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611880
Hidden Bibliographic Details
Varying Form of Title:ISSIP 2020
Other authors / contributors:Bhattacharyya, Siddhartha, 1975-
Mrsic, Leo, 1973-
Brkljačić, Maja.
Varghese Kureethara, Joseph.
Koeppen, Mario.
ISBN:9789813369665
9813369663
9789813369658
9813369655
Notes:4.3 Quantitative Result.
Online resource; title from PDF title page (SpringerLink, viewed April 15, 2021).
Summary:This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18-9, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.
Other form:Print version: Bhattacharyya, Siddhartha Recent Trends in Signal and Image Processing Singapore : Springer Singapore Pte. Limited,c2021 9789813369658
Standard no.:10.1007/978-981-33-6966-5

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245 1 0 |a Recent trends in signal and image processing :  |b ISSIP 2020 /  |c Siddhartha Bhattacharyya, Leo Mrésić, Maja Brkljaécić, Joseph Varghese Kureethara, Mario Koeppen, editors. 
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490 1 |a Advances in Intelligent Systems and Computing ;  |v v. 1333 
505 0 |a Intro -- Preface -- Contents -- About the Editors -- Chaotic Ions Motion Optimization (CIMO) for Biological Sequences Local Alignment: COVID-19 as a Case Study -- 1 Introduction -- 2 IMO Algorithm -- 3 Chaotic IMO (CIMO) -- 4 Experimental Results and Discussions -- 5 Conclusion -- References -- Differential Evolution-Based Shot Boundary Detection Algorithm for Content-Based Video Retrieval -- 1 Introduction -- 2 Proposed Method -- 2.1 Shot Boundary Detection Algorithm with DE and SVM -- 3 Experiment and Results -- 4 Conclusion -- References 
505 8 |a Qutrit-Based Genetic Algorithm for Hyperspectral Image Thresholding -- 1 Introduction -- 2 Fundamental Concepts of Quantum Computing -- 3 HSI Band Selection Based on Interactive Information -- 4 Proposed Methodology -- 4.1 HSI Pre-processing Stage -- 4.2 QutritGA -- 5 Experimental Results -- 5.1 Dataset -- 5.2 Analysis -- 6 Conclusion -- References -- Employing Parallel Hardware Architectures to Diagnose Sickle Cell Anemia in Real-Time Basis -- 1 Introduction -- 2 Literature Review -- 3 Parallel Hardware Implementation -- 3.1 FPGA -- 3.2 GPU -- 4 Diagnostic Algorithm of SCA 
505 8 |a 5 Results and Discussion -- 6 Conclusion -- References -- Implementing a Hardware Accelerator to Enhance the Recognition Performance of the Fruit Mature -- 1 Introduction -- 2 Fruit Recognition Process -- 2.1 Color-Threshold -- 2.2 K-Means Clustering -- 2.3 Hardware Implementation -- 3 Results and Discussion -- 4 Conclusions -- References -- Time Series Modelling and Forecasting of Patient Arrivals at an Emergency Department of a Select Hospital -- 1 Introduction -- 2 Review of Literature -- 3 Context of the Study -- 4 Data Analysis -- 4.1 Descriptive Analysis 
505 8 |a 4.2 Predictive Analytics: Modelling Patient Arrivals for Operational Shift One from 12 AM to 8 AM -- 4.3 Modelling Patient Arrivals for Operational Shift Two from 8 AM to 8 PM -- 4.4 Modelling Patient Arrivals for Operational Shift Three from 8 PM to 12 AM -- 5 Conclusions and Future Work -- References -- Deep Convolutional Neural Network-Based Diagnosis of Invasive Ductal Carcinoma -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Dataset Description -- 3.2 Model Architecture -- 4 Result -- 5 Conclusion and Discussion -- References 
505 8 |a Speaker Identification in Spoken Language Mismatch Condition: An Experimental Study -- 1 Introduction -- 2 Speaker Identification Experiments -- 2.1 Experimental Data -- 2.2 Architecture of SID System -- 2.3 Experimental Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Ultrasound Image Classification Using ACGAN with Small Training Dataset -- 1 Introduction -- 2 Related Works -- 2.1 Transfer Learning -- 2.2 GAN -- 2.3 ACGAN -- 3 Proposed Method -- 3.1 Data Augmentation -- 3.2 Training Classifier -- 3.3 Classifying Test Images -- 4 Result -- 4.1 Dataset -- 4.2 Experimental Setup 
500 |a 4.3 Quantitative Result. 
520 |a This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18-9, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed April 15, 2021). 
650 0 |a Signal processing  |x Digital techniques  |v Congresses. 
650 0 |a Image processing  |v Congresses. 
650 7 |a Image processing.  |2 fast  |0 (OCoLC)fst00967501 
650 7 |a Signal processing  |x Digital techniques.  |2 fast  |0 (OCoLC)fst01118285 
655 0 |a Electronic books. 
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655 7 |a Conference papers and proceedings.  |2 fast  |0 (OCoLC)fst01423772 
700 1 |a Bhattacharyya, Siddhartha,  |d 1975-  |0 http://id.loc.gov/authorities/names/n2012057934 
700 1 |a Mrsic, Leo,  |d 1973-  |0 http://id.loc.gov/authorities/names/n2014025173 
700 1 |a Brkljačić, Maja. 
700 1 |a Varghese Kureethara, Joseph. 
700 1 |a Koeppen, Mario.  |0 http://id.loc.gov/authorities/names/nb2017002893 
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