Journal of Multimedia Technology & Recent Advancements
Journal of Multimedia Technology & Recent Advancements (JoMTRA) ISSN: 2349-9028 Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 5.362 Journal of Multimedia Technology & Recent Advancements (JoMTRA) is a journal focused towards the rapid publication of fundamental research papers on all areas of Multimedia Technology & Recent Advancements. It's a triannual journal, started in 2014. Journal DOI no.: 10.37591/ JoMTRA Focus and Scope Cover Computer Graphics Windowing transformations 2D translation, scaling, rotation and shear 3D translation, scaling, rotation Internet, Connections, TCP/ UDP/ IP, IP addressing ARP, RARP, DCHP, BOOTP, ICMP Web Servers, Web browsers, Web page makers and Editors URL, HTML Multimedia Communications: Technologies, Protocols, and Mechanisms Various Services and Applications in Multimedia Communications Optimizing and Engineering Multimedia network traffic Issues of Personalization Privacy and Security in Multimedia Applications Architectures used in Multimedia Software Database applications and Multimedia Web Implementation of Multimedia Sensor Networks Readership: Graduate, Postgraduate, Research Scholar, Faculties, Institutions, and in IT Companies. Indexing: The Journal is index in DRJI, Google Scholar Submission of Paper: All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration. Papers are accepted for editorial consideration through email info@stmjournals.com or nikita@stmjournals.com Abbreviation: JoMTRA Frequency: Three issues per year Peer Reviewed Policy Editorial Board Instructions to Authors Publisher: STM Journals A division of: Consortium eLearning Network Private Ltd Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India Phone no.: 0120-4746-214/ Email: nikita@stmjournals.com
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An Application Development on Video as a Service in Cloud Computing
The recent trend is found to be the increased use of visual media such as featured films, TV programs and home videos over the Internet. Hence, Video as a Service (VaaS) in cloud computing is gaining momentum. Success of any application in VaaS depends on storage, streaming and security. This paper presents an application based on VaaS, which allows users to upload video data on cloud, share videos with others and also watch videos shared by other people securely. Keywords: Video as a Service (VaaS), visual media, cloud security, storage, streaming, multimedia services
Visual Duplicates in Video using Content based Analysis
This paper proposes a technique to detect visual duplicates in video using content-based analysis for analyzing duplicate videos in the database. Content-based analysis refers to analysis of digital media on the basis of features extracted from its contents. The proposed algorithm uses key frames, extracts spatial features and stores them in their respective feature vector. Feature vector stores the features extracted from key frame in numerical form. It then compares feature vectors from the database to that of the query video and displays whether the query video is duplicated or not. The authors have analyzed only a set of key frames instead of an entire video frame. Thus, it is memory-efficient to detect duplicated video when we handle a vast size of the videos. Keywords: visual duplicates, video, image, algorithm
Authenticity by using Digital Certificate and Secure Communication through Key Agreement Protocol
An essential component of Internet security is based on public key cryptography, the twopart encryption scheme where one part of the key is held privately and the other is made public. This technology has given rise to a small but growing industry that provides Certificate Authority services (CA). These companies verify that a server computers public key is valid and combine it with their own public key to create a unique Digital Certificate. A digital certificate is simply an electronic “statement”, signed by an independent and trusted third party, in a format that is standardized so that its contents can be decoded by a client programs such as Web browsers. The most common digital certificates on the Internet follow a standard named X.509.The technical and documentary relationships for certifying the authenticity of the public keys of server(and client) computers on the Internet is referred to collectively as public key infrastructure(or PKI).It is a secure system that is used to manage and control certificates . Digital signatures can be used to protect the authenticity and integrity of data objects. Key agreement is achieved by using secret key cryptography. If two or more entities want to employ and want to make use of secret key cryptography, then they must share a secret parameter or cryptographic key. Consequently, in a large system many secret keys must typically be generated, stored and managed, destroyed in a secure way. Key agreement protocols are proposed in this paper basing on the concept of digital signature. Discrete logarithm (DL) based protocol is analyzed in detail further. Keywords: Public-key, digital certificate, user authentication, key negotiation, certification authority, secure communication
Peer to Peer Privacy Preserving Authenticated Key-exchange
In particular Key-exchange algorithm Diffie-Hellman key exchange (DHKE), is one of the most commonly used cryptographic mechanisms for providing network security. In order to secure Peer to Peer communication here we use a set of protocols password based authenticated key exchange using verifiers to reduce vulnerabilities. Like any other form of software, P2P applications can contain vulnerabilities. What makes this particularly dangerous for P2P software, however, is that peer-to-peer applications act as servers as well as clients, meaning that they can be more vulnerable to remote exploits. To the best of our knowledge, our protocols are the first provably secure DHKE protocols that additionally enjoy all the following privacy protection advantages: 1) Deniability is concurrent unchangeable statistical zero-knowledge, for both protocol participants simultaneously; 2) The session transcript and session-key can be generated merely from DH-exponents (together with some public values), which thus cannot be traced to the pair of protocol participants; and 3) Exchanged messages do not bear peer’s identity, and do not explicitly bear player role information Keywords: Password authenticated key exchange, diffie-hellman, key exchange, security, zero-knowledge, restricted random oracle
This paper presents an embedded architecture for live video streaming which is done by camera module. The Raspberry pi embedded board has been used to develop the proposed embedded architecture. Raspberry pi board is compatible with any display through LVDS, TTL, HDMI, and VGA. To implement live video streaming any of above can be used. The paper shows the implementation of low-end as well as portable video conferencing solution. It includes the software application development as well as hardware prototyping of system. This paper also presents GStreamer framework for live video streaming. The development process will mainly focus on software development on the Linux operating system using raspberry pi boards. Video streaming has made significant stand in the corporate world as well as education and many other areas as largely used application. Keywords: Raspberry pi, startup, GStreamer, video streaming, embedded board
Comparative Review on Image Fusion Techniques
The goal of image fusion is to combine relevant information from two or more images of the same scene of the different times. The result of image fusion is a new fused image which is more suitable for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and object recognition. Image fusion is the combination of two or more different images to form a new image by using a certain algorithm to obtain more and better information about an object or a study area. The image fusion is mainly done in two domains: spatial domain and transform domain. And in this, two-domain image fusion is performed at three different processing levels which are pixel level, feature level and decision level according to the stage at which the fusion takes place. This depends on the application. There are many image fusion methods that can be used to produce high-resolution multispectral images from a high resolution panchromatic image and low-resolution multispectral images. In this paper, the authors have taken some image fusion techniques and given brief intruder part and compare it as per the performance. Keywords: Image fusion, principal component analysis (PCA), intensity-huesaturation (IHS), discrete wavelet transform (DWT), curvelet transform
A Review on Brain Tumor Detection Techniques
Brain tumor is an abnormal growth of the cells inside the brain. Detecting brain tumor takes special skills and techniques because they are difficult to detect – especially in early stages. The boundary of the tumor (i.e., the abnormality in brain) in an MRI or different medical images can be traced using image processing techniques. The input image to the system is taken either from the available database or the real time image, So that the presence of tumor in input image can be detected and the area of the tumor can also be analyzed. The paper is based on the survey of different brain tumor detection techniques. Keywords: Brain tumor, MRI, edge based and pixel based segmentation, histogram thresholding
Scientific Root of Binary Digits from The Islamic Point of View and the Impact of Arabic Numerals to the Development of Mathematics and Advancement of Modern Science and Technology
The aim of this study is to evaluate and examine the scientific root of binary digits from the Islamic point of view and the impact of Arabic numerals to the development of mathematics and advancement of modern science and technology. The study utilizes contend analysis and secondary source of data as its methodology. The findings of the study revealed that the world now becomes a digital one and transformation to a global village was due to the remarkable achievement made from mathematics by the use of Arabic Numerals. No profound achievement was made in mathematics and generally in science and technology until the inception of Islam in seventh century. This is because Islam is in harmony with science. From its inception, Islam made knowledge and its advancement a religious obligation. Being at a middle-course, Islam synchronizes together the secular and spiritual knowledge for the benefit of this world and the hereafter. Binary numbers or digits as the building block of all digital technology are being perceived as being pure secular which have nothing in common with religion. This paper traces the scientific and mathematical origin of 0 and 1, the binary digits to Islam as well as its contribution to the development and advancement of modern science and technology. It is therefore concluded that the world as a global village does not just happen by mistake; rather it is a making of Almighty God, Allah is beyond the horizon of human philosophy and imagination. Keywords: Advancement, Arabic-Numerals, development, divine, mathematics, science, technology
A Comorbid Algorithm to Significantly Compress Text Contents of Several Web Pages in Conformational Dynamics
In this paper, we presented and achieved the compressing scheme of the textual language contents of several web pages. It presents a validation approach of detected alignment links between characters within the transcript through the mathematical transformation of a multimodal document framework of multimedia features. This entailment process exploits several features, from the structural level of the computational linguistics and its tokens. The obtained results provide the future foundation of massive data compression of internet media. Keywords: Compressing Techniques, Structural Size Reduction, Decoding linguistic features of document
Automated Scene Surveillance using Frame Propagation from Massive Sequencization Fusion of Frame Imaging
Remote sensing scene surveillance has already become significant contributions to many areas such; as environmental engineering and civil applications. However, these fields are still deprived from completely being automated. Since, decisions based on surveillance and sensing data in these fields strongly depend on the accuracy of these data but yet such data is produced by a measuring device and additionally being deprived from effective models and thus being generally prone to imperfection such uncertainty, imprecision, and ignorance leading to unnecessary elimination of useful data . Therefore, in the present study we've proposed an algorithm for automated scene surveillance with accurate image processing and massive sequencized fusing of frame images. Keywords: Prediction, scene surveillance, imaging
Speeding Up Human Operability and Multi-Tasking Through Mobile Evolutionary Algorithm for Evasive Interactive GUIs of Semantic Desktop Application
In this paper, we introduced an algorithm for new optimized method of interacting with Graphical User Interfaces (GUIs) which adds swiftness and evolve with the human operability thus, reducing the number of parameters from the edified Multi-task work process. We validate our algorithm based on the accountable general consensus and confidence data extracted through a number of user's work experience on our interactive GUIs; demonstrating that our algorithm adapts with the user needs and outperforms each time with their previous time bound for complex job execution. It is also observed that with the proposed algorithm of interactive GUIs we can extract work force from the users parallely in a colony structure. Keywords: Multimedia, interactive GUI, automation
Two-Level HM with Dual Constellation Mapping Level 2 for DVB-H
Hierarchical modulation (HM) technique explained in DVB-H technology serves user with different quality of video data for TV on cellular phone. This newer modulation technique has shown good spectrum utilization with availability of HDTV and SDTV video-quality reception. SDTV quality is by default quality to receive in any channel condition while HDTV quality is restricted to healthy reception condition which is indirectly wasting spectrum up to certain extent. The proposed three-layer hierarchical modulation technique is solution to the limitation of previous HM technique with the compromise of video quality as SDTV only. The analysis of three layer HM is carried out on three gray scale video using MATLAB simulation for all possible channel scenarios defined by DVB-H and upcoming standard DVB-NGH. The improvement possibility is shown by addition of simple post-processing Keywords: Digital video broadcasting for handhelds, two levels HM with dual constellation mapping level 2, post processing
Gas Spillage Detection System Using IoT and Arduino
In the past few years, IoT has extended it's roots to virtually every possible device around us. It is reforming our lives. Safety is the primary concern of any project, and it has not been left untouched by IoT either. LPG spillage in household and manufacturing can prove to be hazardous and lethal. We propose a system that can detect, alert and act upon a leakage scenario. The proposed system comprises of a gas sensor, an Arduino controller equipped with an IoT module, a beacon contrivance and a shut-off servo. IoT platform is utilized for accumulating, storing and analysing data. The system can be monitored and controlled from the same. Human presence in the vicinity can be detected with the designed system. Spillage alert is given through an alarm and a notification to a user's phone. The design is capable of turning off the gas supply pipeline automatically.
Media has the ability to make however we tend to expertise the things during this world. We tend to simply shut our minds and open our eyes. During this crisis, media view awfully vital role in creating individual privy to things, calm and encourage them to try and do positive action. Roles of mass media throughout the pandemic lockdown in Asian countriesis to know the impact of COVID-19 and pandemic lockdown in India. The various quiet media like digital media and medium with their impacts are given during this paper. There square measure several challenges at ground level in spreading data to the individuals across the state.
Abstract Human Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports as well as military applications. In this system, we propose a method to estimate human movements using Deep Learning and Machine Learning features with Pretrained Data set. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. The method does not depend on clothes and orientation under noisy conditions so that the human movement can be estimated stably.
Abnormal Crowd Behavior Detection System
Abnormal crowd behavior system is designed for security purpose in public sector. The system is developed using ML algorithms such as CNN and Image processing. It performs the functions to detect the abnormality in the crowd by detecting abnormal actions such as fighting, running, etc. where there is threshold value set for different places. This system can be used to reduce human work considering the accuracy and effectiveness of the system without any false attention An abnormal crowd behavior system is designed for security purposes in the public sector. The system is developed using ML algorithms such as CNN and image processing. It performs the functions to detect the abnormality in the crowd by detecting abnormal actions such as fighting, running, etc. where there is a threshold value set for different places. This system can be used to reduce human work considering the accuracy and effectiveness of the system without any false attention.
Impact of COVID-19 on Education System: New Educational Scenario
COVID-19 is a very fast pandemic worldwide. India’s education sector has also come in the grip of the world. Due to this pandemic, steps like lockdown were taken here. In all, about 32 crore learners from schools and colleges were affectedbecause the educational activities of all the students had stopped. This situation has taught us well that change is inevitable. This period has served as a catalyst forthose institutions which have already developed platforms with technologies. In this epidemic, special efforts were made to save the education sectorand with the help of digitization, they also succeeded in stopping the threat of epidemic to a large extent. This paper highlights some of the measures taken by the government along with changes in the education system. Both the negative and positive effects of COVID-19 on India’s education to supply uninterrupted education within the country are discussed and some useful suggestions for conducting teaching/learning activities during this period are also given.
Review on Offline Signature and Online Signature Recognition and Verification
Abstract Biometrics is regularly utilized nowadays with the end goal of distinguishing proof and confirmation of the people and their marks on the planet. Transcribed mark of an individual is a novel recognizable proof work of human which are utilized and acknowledged particularly in the banking and other monetary and lawful exchanges. Now a day, signature verification is required for different frauds. In this paper, an online mark check framework idea and parts are examined for ID and confirmation of the marks. This paper presents a survey of exploration work and philosophies in the field of manually written mark confirmation. Transcribed mark is one of the biometrics utilized even before the approach of PCs. There are two sorts of manually written marks: 1.Off-line signature and 2. On-line signature. This paper talks about different strategies and issues. Further the survey of different classifiers and coordinating procedures utilized records in signature check.
Fake News Detection Using Multimodal Framework
Abstract The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news analysis, detection and intervention. The explosive growth of fake news and its erosion to democracy, justice, and public trust increased the demand for fake news detection. As an interdisciplinary topic, the study of fake news encourages a concerted effort of experts in computer and information science, political science, journalism, social science, psychology, and economics. A comprehensive framework to systematically understand and detect fake news is necessary to attract and unite researchers in related areas to conduct research on fake news. One can easily say in today’s world, information aka news to few, is more precious than money itself. The news needs to be in authentic form which is usually found in adulterated version. News, being a form of information can be subjective to the proofs and source for its authenticity. As a human, one can easily identify real news from fake news with the help of one’s innate capability to deduce logic and outlandish source of the information piece. Just that one needs few trusted sources to check for the facts and myths. But on a real time basis, there is a dire need for some software which can nip such ‘false news’ in its bud. Leading it to be one of the most researched areas nowadays, these research focus on Multi-Modal-Framework (MMF) for fake news detection, which is based on “Text-Feature” as-well-as “Image-Features” to predict whether the News-article is “Fake” or “Real”.
Image Reconstruction of Noisy Distorted Images Using Deep Learning Methods: A Review
Abstract The field of digital image processing deals not only with the extraction of features and analysis of images but also restoration of images. Image restoration is one of the basic steps of processing that deals with making certain improvements in a digital image based on some predefined criteria. A deep learning architecture for image restoration that attains statistically significant improvements over traditional algorithms is Poisson image de-noising, especially when the noise is strong. Poisson noise commonly occurs in low-light and photon-limited settings, where the noise can be most accurately modeled by the Poisson distribution.
Age Invariant Face Recognition Techniques: A Review
Abstract Face acknowledgment is utilized in numerous applications, for example, in ATM, social insurance framework, driving permit framework, railroad reservation, observation activity, finding missing kids, recognizing hoodlums, and visa validation and so on. This is likewise utilized for opening gadgets, for example, cell phones, workstations, entryways and numerous others. It is one of primary biometric identifier utilized in biometric frameworks. Anyway the presence of one individual may fundamentally change with age which forces a test in face acknowledgment calculations. To conquer this test age invariant face acknowledgment (AIFR) might be utilized to expand the exactness of face acknowledgment calculations. Right now, a general face acknowledgment framework utilizing steps, for example, face recognition, face standardization, highlight extraction and highlight coordinating is examined. A complete audit old enough invariant face recognition strategies is introduced and these methods are ordered as generative, discriminative and profound learning based on face portrayal and learning procedure used. The significant issues in the AIFR are broad changes of appearance official skin (wrinkles, stunning), facial shape, and skin tone in blend with the variety of posture and enlightenment. These difficulties force impediments on the current AIFR frameworks and confound the acknowledgment task for character check particularly for worldly variety. Right now, present a 3D sexual orientation explicit maturing model that is hearty to maturing and posture varieties and gives a superior acknowledgment execution than the regular AIFR frameworks. In generative plan AIFR methods, fake face picture is orchestrated utilizing at least one fixed age classifications and afterward face acknowledgment is performed with incorporated fake face picture. By and large the generative strategies split the acknowledgment procedure in two phases. In first stage, counterfeit face image is combined and in second stage face acknowledgment is performed. The objective of the discriminative strategies is to make an advanced oppressive model to take care of the AIFR issue. In profound learning, AIFR strategies face acknowledgment includes highlight extraction promotion grouping strategies. This paper delineates some significant facial maturing databases regarding the quantity of subjects and pictures per subject alongside their age ranges. At last stretching out the extent of AIFR to other new applications, for example, human exercises and conduct acknowledgment is talked about as future bearings of AIFR.
In this paper, a cryptographic application is presented as Digital Transaction System (DTS). DTS requires the high level security protocol. There are various attacks considered successfully on DTS. The claim of the security of DTS holds the short time. Thus, it requires updating frequently. The single hardness of the problem is not enough but the compact problem is recommended to design such DTS. This work is based on the study and the analysis of the properties and the structures of the finite field. The algorithms have been given for generating the digital money cum digital signature. The mathematical theory has also been given for designing the digital money cum digital signature. Basically this research concerns with the characteristics of both the types of mathematics, i.e. the traditional (pure and applied) and the discrete, but as the new compact version. Keywords: Digital Money, Digital Signature, Finite Field, Cryptography, Protocol. Mathematics Subject Classification Number: 94A60. Cite this Article: Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee. Digital Transactions System. Journal of Multimedia Technology & Recent Advancements. 2020; 7(2): 18–24p.
This article examines the impact of blockchain technology in existing ongoing projects and initiatives, and discusses overall implications, challenges and potential, with a critical view over the maturity of these projects. Our findings indicate that blockchain is a promising technology towards a transparent chain, with many ongoing initiatives. Keywords: Bitcoin, Immutability, Consensus, Ledger, Technology Cite this Article: Shefali Kadam, Komal Patra, Apoorva Rasal, Shraddha Subhedar. Blockchain-The Consensus. Journal of Multimedia Technology & Recent Advancements. 2020; 7(2): 4–8p.
Computer based Automated Detection of Diabetic Retinopathy Stages using Neural Network
Diabetic Retinopathy (DR) is a condition where a person suffering from diabetes for more than 10 years and has problem in vision. Due to DR, blood vessels in retina gets damaged. Patient also suffers from a blurred vision, finds difficulty in seeing colors in some cases or even total loss of vision. Retinal surgeries can relieve the symptoms, but efficient way to tackle DR is controlling diabetes and managing early symptoms of DR, which can be done by having eyes checked at least once annually. DR is a leading cause of blindness. The manual process for studying the fundus images is a time consuming approach and needs expertise to do it. Thus to minimize the time and to detect it more accurately, the proposed system uses deep learning algorithms. Convolutional Neural Networks (CNN) is used to train the model using images of fundus. These fundus images include data of five stages of DR. Satisfactory results were obtained using CNN. Keywords: Deep learning, Convolutional Neural Networks (CNN), Diabetic Retinopathy (DR), technology, digital image processing. Cite this Article: Malay Hitendra Patel, Sayali Sharad Manjrekar, Ashish Dnyaneshwar Parulekar, Rina Bora. Computer based Automated Detection of Diabetic Retinopathy Stages using Neural Network. Journal of Multimedia Technology & Recent Advancements. 2020; 7(2): 13–17p.
Ashish Dnyaneshwar Parulekar Dnyaneshwar Parulekar
The theory of Public Key Cryptography (PKC) was introduced by Diffie and Hellman [2]. There was the key agreement protocol based on the Discrete Logarithm Problem (DLP) in 1976. In 1985, ElGamal [1] applied the concept of [1] and presented the first real and practical PKC. The security of this PKC interacts with the hardness of DLP. The discrete cryptography is presented in this paper. Cryptography interacts with the hard mathematical problem. This is the study based on Discrete Logarithm Problem. The structure of the DLP is analyzed over the finite field. In this paper, a PKC is proposed based on the variant of DLP. 2010 AMS Mathematics Subject Classification Number: 94A60. Keywords: DLP, Finite Field, PKC, Cryptography, Protocol. Cite this Article: Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee. Discrete Cryptography. Journal of Multimedia Technology & Recent Advancements. 2020; 7(2): 1–3p.