2019 Fifth International Conference on Image Information Processing (ICIIP-2019) , November  15 - 17, 2019
IEEE Conference Record Number #47207

2019 Fifth International Conference
Image Information Processing
(ICIIP -2019)
November    15 - 17 , 2019
Jaypee University of Information Technology
Waknaghat, District Solan, Near Shimla, Himachal Pradesh, INDIA

Special Sessions

Special Session 1 : e-Healthcaredata analytics and security

Special Session Chair(s): Dr. Shabir A. Parah
Session Objective:
With the increasing use of e-health technologies, electronic Health Records are increasing enormously turning into Big Data. Such data could be continuous vital signals or health reports. These e-health records need to be analyzed to find out disease patterns and perform predictive analytics for the efficient and accurate health treatments. In fact, this new emerging research area which stands at the intersection of several different discipline such as Technology, Medicine, and Big Data Analytics. The need of the hour is to develop new techniques, methods for the acquisition, storage, processing, analysis, standardization and optimization of every process in the health sector. E-healthcare data analytics could result in development of efficient electronic health records, new protocols for sharing such data utilizing optimized resources, and hence leading to smart health industry. Further given the sensitive nature of healthcare data, its privacy and security is of utmost importance. Development of state-of-the-art systems using various technologies for security and privacy of e-health data like EHR/EPR also needs an important attention. This is to make e-Health as a reliable alternative to conventional Healthcare.
 This special session of 2019 ICIIP aims to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data, analytics and methodologies to efficiently secure it. It is also aimed to encourage a debate on how e-healthcare can complement the conventional healthcare in terms of diagnosis, treatment, and to develop a common understanding for research conducted in this multidisciplinary field.

Topics and Areas of Interest (not limited up to following)
Healthcare Data Analytics, Medical Imaging, Electronic Health Records, EHR- Authentication, EHR-Security, Medical Image Watermarking, Personal Health Records, Healthcare Information Systems, m-health, Telemedicine, Personal Health Record-privacy.

Dr. Shabir A. Parah
Assistant Professor
Department of Electronics,
University of Kashmir, India
Email: shabireltr@gmail.com, shabirparah@kashmiruniversity.ac.in



Special Session 2 : Image Processing, AI & Machine Learning: Recent Trends and Future Scope

Special Session Chair(s): Dr Mohd Dilshad Ansari, Dr. Suneet Kumar Gupta
Session Objective:
In the last few years, the technologies related to imaging, video processing, computer graphics, 3D modelling and multimedia have been greatly employed in various application areas such as detection, image analysis, image compression, face recognition etc. The continuous development of these technologies leads researchers to propose new methodologies and applications in this field. Moreover, recent image-processing and machine learning algorithms give the opportunity to process large datasets as well as images, in order to extract information and develop new analysis procedures
AI-Machine Learning is the future, big as well as demanding things today. They cover not only Information and communication technology, but also all kinds of systems in our society, including business, finance, industry, manufacture, management, and environment. ML & DL is going to be game changer for many applications areas, now it is going to be applied in various research fields.
This special Session devotes to the analysis, modelling, simulation, and application in the Interdisciplinary domains of several cutting edge technologies.

Topics and Areas of Interest (not limited up to following)
Image Analysis, Image Segmentation, Image Recognition, Image Processing Applications, Artificial Intelligence, Machine Learning, Deep Learning, Active Machine Learning, Clustering, Classification and Regression Methods, Supervised, Semi-Supervised and Unsupervised Learning, Unsupervised Pretrained Networks (UPNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks, Machine Learning Applications.

Dr. Mohd. Dilshad Ansari
Assistant Professor
Department of Computer Science & Engineering,
CMR College of Engineering & Technology,
Hyderabad, India
Email: m.dilshadcse@gmail.com

Dr. Suneet Kumar Gupta
Assistant Professor,
School of Engineering and Applied Sciences,
Department of Computer Science Engineering,
Bennett University, Gr. Noida, India
Email: suneet.banda@gmail.com


Special Session 3 : Fuzzy Systems- Near Structures and Approximation Theory

Special Session Chair(s): Dr. Rashmi Singh, Dr. Neha Bhardwaj
Session Objective:
Nearness spaces have been fruitful for approaching topology from categorical view point. The categories of topological spaces uniform spaces, proximity spaces and contiguity spaces are embedded in the category of nearness spaces.
In image processing, near system facilitates nearness measurement between a pair of images with directory of images.
Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximal (near) relation. Proximity relations make it possible to construct uniform topologies on the sets of points that constitute a digital image. The combination of computer vision techniques and near (proximal) sets leads to a deep understanding of images. Both the traditional papers of Nearness spaces and the research articles which deal with the application of nearness spaces in image processing may be invited for the session which complements the basic topics of the conference.

Topics and Areas of Interest (not limited up to following)
Near Structures, Proximity, Merotopy, Fuzzy set, Soft sets, Rough Sets, Linear Positive Operators, Krovokin Theorem, Modulus of continuity, Bernstein polynomial, Peetre’s K functional.

Dr. Rashmi Singh
Associate Professor
Department of Mathematics, AIAS
Amity University Uttar Pradesh, Noida
Email: rsingh7@amity.edu

Dr. Neha Bhardwaj
Assistant Professor
Department of Mathematics, AIAS
Amity University Uttar Pradesh, Noida
Email: Nbhardwaj1@amity.edu




Special Session 4 : Security & Privacy in Digital Watermarking

Special Session Chair(s): Dr. Ashwani Kumar, Dr. S.Sai Satyanarayana Reddy
Session Objective:
Digital image watermarking scheme is promising and efficient method for protecting Digital Right Management (DRM). With the rapid growth of data scale, the demand for storage space is likewise increasingly growing. In this trend, cloud storage service has been recently presented as a service. This kind of service provides people with a lot of cheap and unlimited storage space. For example, Amazon Web Services and Google Cloud Storage offer cloud storage solutions to customers around the world, reducing the need of local devices’ storage space. Hence, it is difficult for the cloud user to make sure that the cloud storage provider (CSP) has obeyed the request of deletion to remove all corresponding data. Digital watermarking technique and encryption techniques supports copyright protection and allow a content owner to embed a visual watermark into the digital content before distributed it over Internet. 
The objective of this special session is to concentrate on all aspects and future research directions related to digital watermarking protocols. In this context, we invite researchers to contribute original research articles as well as highly review articles that will seek the continuing efforts to understand the concept of digital image watermarking techniques that lead to future improvements for providing reliable secure robust watermarking protocol.

Topics and Areas of Interest (not limited up to following):
Attacks on Digital Watermarks, Image Processing for Surveillance and Security Systems, Blind and robust watermarking, Security in watermarking protocols, Computer Graphics And Multimedia, Information Security & Privacy for Smart Devices, Speech and Image processing in Pervasive Computing, Feature Detection of Color Image, Digital Image Segmentation with histogram, Image Noise Analysis, Noise Removal– Filtering Techniques

Dr. Ashwani Kumar
Associate Professor, 
Department of CSE, 
Vardhaman College of Engineering, 
Kacharam, Shamshabad, Hyderabad, Telangana, India

Dr. S.Sai Satyanarayana Reddy
Principal& Professor, 
Department of CSE, 
Vardhaman College of Engineering,
Kacharam, Shamshabad,Hyderabad, Telangana,India



Special Session 5 : Text Mining and Sentiment Analysis 

Special Session Chair(s): Prof S Chandrasekhar
Session Objective:

With Automation playing a big role in every walk of life huge volumes of Digital data is being collected .At the same time data variety has also increased to a large extent. Large volume of data is contributed by Text, Voice and Images. These are mainly contributed by new channels like Twitter, Face Book, Blogs, Web Sites and Instagram It is almost impossible to analyze this volume of data by earlier data base management techniques because these systems were basically designed for handling numeric data. These systems are not suitable to handle Text, Voice and Video data. This is where Text and Sentiment Analysis comes into picture. These techniques use Natural Language Processing, Machine Intelligence, and other techniques to extract meaningful information from a variety of data sources.        
Sentiment Analysis also called opinion mining basically tells What People are saying, when they are saying and what they mean. This plays a major role in marketing of Products and services to understand requirements of customers in a better way.

Topics and Areas of Interest (not limited up to following):
  • Emotion and sentiment in social media and big data
  • Subjectivity, sentiment and emotion detection in social media
  • Sentiment-based indexing, search and retrieval in social media
  • Sentiment topic detection & trend discovery
  • Emotions, sentiment and places
  • Emotion models and ontology’s of emotions
  • Emotions in human-agent interaction and communication
  • Applications of sentiment and big data analysis on social sciences, e-participation, political forecasting, commerce, tourism, education, healthcare, cultural heritage, etc.

Prof. S Chandrasekhar
B.Tech, M.Tech(IIT-K), PhD(USA)
Sr Prof & Director Business Analytics
IFIM Business School  B "lore
Ex Prof IIM L 
Email: drsch.16@gmail.com







Special Session 6 : Multimedia Communications and Cloud Computing

Special Session Chair(s): Dr. Sanjeev Patel
Session Objective:

The uses of Internet and user-generated content have been increased nowadays. Due to the growing prevalence of mobile phones, cameras, and social media, there are huge amounts of multimedia data being produced that results a unique kind of big data formed. The congestion in the network is a promising problem for efficient multimedia communications. Multimedia communications for big data brings tremendous opportunities for applications and services such as multimedia searches, recommendations, advertisements, healthcare services, and smart cities. The multimedia with cloud systems which perform multimedia storage, processing, delivery, service are a preferred solution to deal with the multimedia big data problem. The current trends of promising technologies are cloud-based media computing and communications which coordinate between the mobile clients and the media cloud system. We expect original and high quality papers where topics and areas of primary interest are centered on communication model, cloud-based media computing and communications.

Topics and Areas of Interest (not limited up to following):

  • Novel theoretical and practical applications of transmitting multimedia big data.
  • Survey papers of the recent progress and challenges in this domain.
  • The intelligence that can be employed for multimedia classification, search, recommendation towards cloud-based communications.
  • Advanced network architecture design for cloud-based multimedia delivery.
  • Cooperative schemes for cloud-based multimedia communications.
  • Resource management for cloud media.
  • Data security, privacy and reliability for media cloud.
  • Multimedia modeling with collective intelligence and applications, including classification, clustering, recommendation, etc.
  • An efficient congestion control model for multimedia and communication.
  • Social media propagation and mining in the cloud.

Dr. Sanjeev Patel
Assistant Professor (Sr. Grade)
Department of Computer Science and Engineering
Jaypee Institute of Information Technology, Noida, UP, India
Email: sanjeev.patel@ieee.org
Phone(O): +91-120-4195850







Special Session 7 : Document Analysis and Pattern Recognition

Special Session Chair(s): Prof. R. K. Sharma and Dr. Munish Kumar
Session Objective:

Research in the field of document text recognition is very challenging due to the complex structural properties of various scripts. This is even more challenging in Indic Scripts. The main aim of this special session is to provide a detailed study of various techniques for document analysis and recognition. This special session will also cover hybridization of various feature extraction and classification techniques for document analysis and recognition. To improve recognition results, different latest techniques, including, adaptive boosting, bootstrap aggregating and stacking will also be discussed in this special session.
Participants in this special session shall be exposed to different research areas like document analysis & recognition, pattern recognition, machine learning, computer vision etc. This special session aims to provide a platform for researchers to present techniques for text recognition of Indic Scripts.

Topics and Areas of Interest (not limited up to following):

  • Document Image Processing
  • Handwriting Analysis and Recognition
  • Character and Word Recognition
  • Offline/Online Handwriting Recognition
  • Multi-lingual Processing
  • Text Analysis and Processing
  • Performance Evaluation
  • Multimedia and Hypermedia Analysis
  • Writer Identification
  • Signature Verification/Recognition

Prof. R. K. Sharma (Organizer)
Department of Computer Science and Engineering,
Thapar Institute of Engineering & Technology,
Patiala, Punjab, INDIA
Email: rksharma@thapar.edu  

Dr. Munish Kumar (Co-Organizer)
Assistant Professor,
Department of Computational Sciences,
Maharaja Ranjit Singh Punjab Technical University,
Bathinda Punjab, INDIA
Email: munishcse@gmail.com  






Special Session 8 : Three - Dimensional Rendering Techniques for AR/VR Applications

Special Session Chair(s): Dr. Lizy Abraham
Session Objective:

With the rapid advancement of networks, graphics hardware, and computing techniques, the 3D information has been widely applied in various domains, such as augmented/virtual reality, 3D graphics, medical industry, entertainment and architecture design. This is an emerging topic crossing several research areas, such as computer vision, multimedia computing, pattern recognition, image processing and computing graphics. The use of 3D rendering techniques in virtual reality is undergoing extensive research all over the world. 3D gaming, self-driving cars, robotic systems, medical diagnosis assistance, localization and mapping are some of the most investigated applications. These applications demand many camera-to-scene configurations including desktop and wearable settings as seen by the recent development of VR systems, such as those made by Facebook, Google, or Microsoft. Recently, the rapid progress of deep neural networks on 3D visual analysis has boosted the researches, breaking the boundaries of imagination and reality. This situation encourages the research on 3D visual representation and understanding and attracts much attention in both the academia and industry. However, there is still a long way towards effective 3D rendering techniques and applications.
This special session of 2019 ICIIP will provide a premier platform for disseminating research results covering a broad variety of topics in the area of 3D research in computer vision and graphics, from novel optical sensors, signal processing, geometric modelling, representation and transmission, to visualization and interaction, and a variety of applications including augmented/virtual reality. The session aims to bring together researchers and engineers from all related areas on the fundamental theories, models, and technological solutions in terms of 3D rendering and the numerous applications in AR/VR technologies.

Topics and Areas of Interest (not limited up to following):

3D modelling and image-based localization, Multi-view registration and calibration, Object tracking with RGB-D sensors, Sensor fusion, Active and passive stereo systems, 3D detection for autonomous driving, Deep learning for 3D data, Human-computer interaction, Appearance modelling, Computer-aided manufacturing, Mobile and embedded computing for AR/VR, Display technologies for AR/VR, mapping of media and objects into AR/VR scenes.

Dr. Lizy Abraham  (Organizer)
Dean (Research & Consultancy)
LBS Institute of Technology for Women
(A Govt. of Kerala Undertaking)
Thiruvananthapuram – 695 012
Kerala, India.
Email:  liszy.abraham@gmail.com






Special Session 9 : Emerging Applications of IoT, Deep learning and its impact on Image processing

Special Session Chair(s): A. Suresh, R. Udendhran
Session Objective:

The main objective of this special session is to present the research from different areas of science and technology focusing on the image processing, deep learning and IoT. This special session provides a platform for researchers and scientists across the world to exchange and share their experiences and research results about all aspects of IoT, deep learning and image processing and to solve the societal problem to make the world a better place to live in. This special session also provides an opportunity to interact and establish professional relations for future collaboration to extend the services to the community selflessly. The special session aims to promote innovations and work of researchers, engineers, students and scientists from across the world on advancement paradigms such as IoT, deep learning and image processing has revolutionized industry applications with their individual robust data management and processing techniques through various hardware and software connectivity processing protocols. Internet of Things (IoT) helps to process various kinds of sensory data in industries. Deep learning provides an independent processing access to a remote device having distributed sharing of manufacturing company resources. Deep learning performs various kinds of analytics to analyze business and returns statistical reports of trading firms. The industrial revolution 4.0 converges all these technologies to a single point of facilitation where large-scale industries could get a converged benefit.

Topics and Areas of Interest (not limited up to following):

  • Convergences in application use cases
  • Large-scale data processing in industries
  • Scheduling large-scale data
  • Protocols for robust communication
  • Security issues in industries
  • Emerging areas in IoT/deep learnings
  • Novel service infrastructure for industrial revolution applications
  • State-of-the-art frameworks for industries
  • Revolutionary topics in Smart environments (smart homes, transportation, healthcare, etc.)
  • Image processing analytics

 A. Suresh  (Organizer)
Professor & Head,
Department of Computer Science and Engineering,
Nehru Institute of Engineering and Technology,
T.M.Palayam, Coimbatore-641105, TamilNadu, India
Email: prisu6esh@gmail.com

R. Udendhran,
Associate Professor
Department of Computer Science and Engineering,
Bharathidasan University, Trichy- 620024, TamilNadu, India
E-mail: udendran@gmail.com






Special Session 10 : Fault Tolerant and Reliable Computing in Cloud

Special Session Chair(s): Dr. Punit Gupta, Dr. Prakash Kumar
Session Objective:

Cloud computing is a new alternative of scalable and cost efficient computing which is accepted worldwide. But there lie various open issues line issues with increasing infrastructure which are geographically located and performance issues. Moreover faults in data-center with are occurring at random point degrades the performance and reliability in cloud environment. So this issue aims to find and invite new research from the field of fault tolerant and reliable computing.
The Objective of this special issue to collect quality work from the field of cloud computing to address various issues concerned to improve the performance in cloud environment.

Topics and Areas of Interest (not limited up to following):

  • Scalability in cloud
  • Power efficient computing
  • Heuristic based algorithm in cloud
  • Reliability in cloud
  • Cloud computing architectures and systems
  • Hybrid cloud environment
  • Datacenter networking
  • Trust, security and privacy
  • Cloud resource management
  • Fault tolerance and reliability of Big Data Systems

Dr. Punit Gupta (Organizer)
Associate Professor
Dept. of Computer and Communication Eng.
Manipal University Jaipur, Jaipur
Email: punitg07@gmail.com

Dr. Prakash Kumar,
Associate Dean of Student & Associate Professor
Dept. Computer Science & Eng.
Jaypee Institute of Information Technology, Noida
E-mail: prakash.kumar@jiit.ac.in