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Journal articles on the topic 'Multimedia Image'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Satish, Bansal. "A REVIEW: IMAGE RETRIEVAL USING WEB MULTIMEDIA MINING." International Journal of Advances in Engineering & Scientific Research 1, no. 4 (2014): 113–17. https://doi.org/10.5281/zenodo.10720525.

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<strong>Abstract</strong> <em>Multimedia object include audio, video, Image, text etc. where image retrieve play very important role to find any kind of image information which use in business images, satellite images, medical images and so on. Web Multimedia mining is one kind of web mining which retrieving useful multimedia information from web. Image retrieval using web multimedia mining deals with the retrieval of useful image based on the user’s search requirement. This paper focus on web mining, multimedia mining which retrieve all kind of data or image information based on the sea

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Katz, Alan S., and Peter L. Tilkemeier. "Multimedia image display." Current Opinion in Cardiology 12, no. 6 (1997): 566–70. http://dx.doi.org/10.1097/00001573-199711000-00011.

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Pankaj, M. Bhuyar, and S. W. Mohod Dr. "Multimedia Data Security through Embedded Image." International Journal of Advanced Innovative Technology in Engineering (IJAITE) 7, no. 5 (2022): 1–9. https://doi.org/10.5281/zenodo.7181044.

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Hiding information in an image in a way that does not affect the original cover image pixels or cause a permanent distortion after extracting that information is known as reversible data hiding technology. Many reversible data hiding schemes have been proposed and successfully applied in military applications. Such schemes are developed to ensure digital images authenticity and integrity without any distortion on the original images. They guarantee that any attempt to change the watermarked image will be detected by the image owner. In this research, an algorithm is proposed to reversibly hide

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Jun, Woogyoung, Yillbyung Lee, and Byoung-Min Jun. "Automatic Image Tagging Model Based on Multigrid Image Segmentation and Object Recognition." Advances in Multimedia 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/857682.

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Since rapid growth of Internet technologies and mobile devices, multimedia data such as images and videos are explosively growing on the Internet. Managing large scale multimedia data with correct tags and annotations is very important task. Incorrect tags and annotations make it hard to manage multimedia data. Accurate tags and annotation ease management of multimedia data and give high quality retrieve results. Fully manual image tagging which is tagged by user will be most accurate tags when the user tags correct information. Nevertheless, most of users do not make effort on task of tagging

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Li, Feng. "Simulation of Video Image Fault Tolerant Coding Transmission in Digital Multimedia." Mathematical Problems in Engineering 2022 (September 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/4657091.

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In order to effectively improve the quality of video image transmission, this paper proposes a method of digital multimedia video image coding. The transmission of digital multimedia video image fault-tolerant coding requires sparse decomposition of a digital multimedia video image to obtain the linear form of the image and complete the transmission of video image fault-tolerant coding. The traditional method of fault-tolerant coding is based on human visual characteristics but ignores the linear form of the digital multimedia video image, which leads to the unsatisfactory effect of coding and

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Ahmed, Mahmood Ali, and Khamees Khalaf Hasan. "Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods." Journal of Cases on Information Technology 23, no. 2 (2021): 39–49. http://dx.doi.org/10.4018/jcit.20210401.oa4.

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Wireless sensor networks (WSNs) are widely used for the different multimedia applications in which the data in multimedia form (e.g., images and videos) are captured by visual sensors and transmitted to base stations or destination nodes, and such networks, commonly called wireless multimedia sensor networks (WMSN), transmit high-quality images over sensor nodes with image quality improvement and CS technique while the security of CS data is achieved. The one-way DF-based cooperative digital image transmission model over WSNs using advanced terminologies for image compression called advanced J

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Zhou, Hongkai, and Xiaomin Zhang. "Analysis on the Influence of Multimedia Image Technology in Sports News Communication." International Journal of Intelligent Information Technologies 21, no. 1 (2025): 1–24. https://doi.org/10.4018/ijiit.383513.

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At present, the main trend of sports news dissemination focuses primarily on the application of multimedia imaging technology. In this paper, SPSS software is used to perform descriptive statistical analysis, nonparametric testing, and exponential smoothing analysis on the image indices of multimedia imaging technology. The overall situation and regional differences of current image factors in multimedia images are analyzed through horizontal comparison of multimedia image technologies. Then, the multimedia imaging technology is analyzed and predicted using MATLAB. The results show that the re

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Jia, Fengzhen, Shiqiang Xu, and Jiaofei Huo. "Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence." Mobile Information Systems 2021 (November 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/7839821.

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With the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality environments are currently built, and the functional development of artificial intelligence multimedia teaching systems is not comprehensive. An artificial intelligence VR video image control system is constructed for the multimedia teaching system. This article analyzes the development of artificial inte

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ORIA, VINCENT, and M. TAMER ÖZSU. "VIEWS OR POINTS OF VIEW ON IMAGES." International Journal of Image and Graphics 03, no. 01 (2003): 55–79. http://dx.doi.org/10.1142/s0219467803000919.

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Images like other multimedia data need to be described as it is difficult to grasp their semantics from the raw data. With the emergence of standards like MPEG-7, multimedia data will be increasingly produced together with some semantic descriptors. But a description of a multimedia data is just an interpretation, a point of view on the data and different interpretations can exist for the same multimedia data. In this paper we explore the use of view techniques to define and manage different points of view on images. Views have been widely used in relational database management systems to exte

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Ye, Conghuan, Shenglong Tan, Jun Wang, Li Shi, Qiankun Zuo, and Wei Feng. "Social Image Security with Encryption and Watermarking in Hybrid Domains." Entropy 27, no. 3 (2025): 276. https://doi.org/10.3390/e27030276.

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In this digital era, social images are the most vital information carrier on multimedia social platforms. More and more users are interested in sharing social images with mobile terminals on multimedia social platforms. Social image sharing also faces potential risks from malicious use, such as illegal sharing, piracy, and misappropriation. This paper mainly concentrates on secure social image sharing. To address how to share social images in a safe way, a social image security scheme is proposed. The technology addresses the social image security problem and the active tracing problem. First,

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Zheng, Yu, Jiezhong Zhu, Wei Fang, and Lian-Hua Chi. "Deep Learning Hash for Wireless Multimedia Image Content Security." Security and Communication Networks 2018 (September 25, 2018): 1–13. http://dx.doi.org/10.1155/2018/8172725.

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With the explosive growth of the wireless multimedia data on the wireless Internet, a large number of illegal images have been widely disseminated in wireless networks, which seriously endangers the content security of wireless networks. However, how to identify and classify illegal images quickly, accurately, and in real time is a key challenge for wireless multimedia networks. To avoid illegal images circulating on the Internet, each image needs to be detected, extracted features, and compared with the image in the feature library to verify the legitimacy of the image. An improved image deep

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Oswal, Prateek, and Divakar Singh. "Survey paper on various mining methods on multimedia Images." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 3 (2013): 898–901. http://dx.doi.org/10.24297/ijct.v8i3.3400.

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Multimedia mining is a young but challenging subfield in data mining .Multimedia explanation represents an application of computer vision that presents the recognition of objects or ideas related to a multimedia document as a image. There is not unified conclusion in the concept, content and methods of Multimedia mining, Multimedia mining architecture and framework has to be further studied. there are various mining methods that we can apply on multimedia images like association rule mining, sequence mining, sequence pattern mining etc. In this survey paper we are focusing all this methods. We

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Aouadi, Hatem, Mouna Torjmen-Khemakhem, and Maher Ben Jemaa. "Combination of document structure and links for multimedia object retrieval." Journal of Information Science 38, no. 5 (2012): 442–58. http://dx.doi.org/10.1177/0165551512445851.

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In this paper, we are interested in XML multimedia retrieval, the aim of which is to find relevant multimedia objects such as images, audio and video through their context as document structure. In context-based multimedia retrieval, the most common technique is based on the text surrounding the image. However, such textual information can be irrelevant to the image content. Therefore many works are oriented to the use of alternative techniques to extend the image description, such as the use of ontologies, relevance feedback, and user profiles. We studied in our work the use of links between

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Arunmozhi, S. A., R. Rakavi, N. Reaishma, M. Sivasri, and Venkata Naga Anjani Jyothi Yellamaraju. "Rubiks Cube Based Image Cryptography." Journal of Advancement in Communication System 5, no. 2 (2022): 1–8. https://doi.org/10.5281/zenodo.6906610.

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<em>Rapid growth of digital communication and multimedia application increases the need of security and it becomes an important issue of communication and storage of multimedia. Modern cryptography gives fundamental strategies to securing information and safeguarding sight and multimedia data. In last a few years, encryption innovation has been grown rapidly and many picture encryption strategies have been utilized to shield secret picture data from unapproved access. Encryption is a method of retaining the secrecy of images. One of the efficient methods is to use Rubik’s cube algorithm,

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Abboud, Ali J. "Shape Adaptable Medical Multimedia Processing." Open Electrical & Electronic Engineering Journal 13, no. 1 (2019): 1–18. http://dx.doi.org/10.2174/1874129001913010001.

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Introduction:Electronic medical healthcare systems are becoming the backbone of health organizations over the world. The huge amounts of medical multimedia produced by these systems especially images and videos are transmitted by the computer networks that connect these systems. The variability in the shape and texture of transferred medical multimedia data needs adaptable procedures to process these data efficiently. In other words, these procedures must adjust automatically based on the shape of region of interests in the medical multimedia images to cope with fast changes in the healthcare

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Worring, Marcel, Dennis Koelma, and Jan Zahalka. "Multimedia Pivot Tables for Multimedia Analytics on Image Collections." IEEE Transactions on Multimedia 18, no. 11 (2016): 2217–27. http://dx.doi.org/10.1109/tmm.2016.2614380.

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Pukhalskyi, Bohdan, and Oksana Kyriienko. "Systems for Processing Unstructured Multimedia Information." NaUKMA Research Papers. Computer Science 6 (March 24, 2024): 62–68. http://dx.doi.org/10.18523/2617-3808.2023.6.62-68.

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This paper presents an overview of image search systems and the methods used to solve computer vision problems. The first part focuses on the needs of users and the requirements for image search systems. Existing systems, such as Google Photos, Apple Photos, Amazon Photos, Microsoft Photos, and Flickr, are then considered. Their advantages and disadvantages are evaluated, and proposed solutions to the identified shortcomings are discussed. Proposed computer vision methods, including object detection (face detection) and image text description, are analyzed in detail.The rapid growth of digital

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Palani, Aberna, and Agilandeeswari Loganathan. "Multi-image Feature Map-Based Watermarking Techniques Using Transformer." International Journal of Electrical and Electronics Research 11, no. 2 (2023): 339–44. http://dx.doi.org/10.37391/ijeer.110214.

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Nowadays, protecting multimedia data is a significant challenge because of the advancement of technology and software. The embedding process heavily relies on watermarking to accomplish multimedia security in terms of content authentication, proof of ownership, and tamper detection. Our objective is to develop an invariant watermark that can survive different signal-processing attacks. We presented a unique hybrid technique (DWT-QR-SWT) and multi-image invariant features generated as a watermark using a Transformer encoder-decoder model. The encoded image features are subsampled using PCA in o

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Rashid, Md Mamunur. "Multimedia Image Processing Lab Experiment/Simulation." American International Journal of Sciences and Engineering Research 3, no. 1 (2020): 1–13. http://dx.doi.org/10.46545/aijser.v3i1.129.

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Image Processing in Multimedia Applications treats a number of critical topics in multimedia systems, with respect to image and video processing techniques and their implementations. These techniques include the Image and video compression techniques and standards, and Image and video indexing and retrieval techniques. Image Processing is an important tool to develop a Multimedia system design.

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MEZARIS, VASILEIOS, IOANNIS KOMPATSIARIS, and MICHAEL G. STRINTZIS. "STILL IMAGE SEGMENTATION TOOLS FOR OBJECT-BASED MULTIMEDIA APPLICATIONS." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 04 (2004): 701–25. http://dx.doi.org/10.1142/s0218001404003393.

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In this paper, a color image segmentation algorithm and an approach to large-format image segmentation are presented, both focused on breaking down images to semantic objects for object-based multimedia applications. The proposed color image segmentation algorithm performs the segmentation in the combined intensity–texture–position feature space in order to produce connected regions that correspond to the real-life objects shown in the image. A preprocessing stage of conditional image filtering and a modified K-Means-with-connectivity-constraint pixel classification algorithm are used to allow

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Bouakkaz, Fatima, Wided Ali, and Makhlouf Derdour. "Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression." Instrumentation Mesure Métrologie 20, no. 1 (2021): 57–63. http://dx.doi.org/10.18280/i2m.200108.

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Recently, the issue of multimedia sensors received considerable critical attention, that led to the apparition of Wireless Multimedia Sensor Networks (WMSNs) WMSN that different from wireless sensor networks (WSN) by using multimedia sensors that can process video, audio, image data besides scalar data and send it to station base (SB). Multimedia data have a big volume bigger than scalar data and need more resources and consumed more energy. The ideal solution to solve the problems of WMSN (big volume, energy consumption) is data compression. Forest plays a critical role in our daily life we c

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Latif, Afshan, Aqsa Rasheed, Umer Sajid, et al. "Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review." Mathematical Problems in Engineering 2019 (August 26, 2019): 1–21. http://dx.doi.org/10.1155/2019/9658350.

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Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data. In last few years, the complexity of multimedia contents, especially the images, has grown exponentially, and on daily basis, more than millions of images are uploaded at different archives such as Twitter, Facebook, and Instagram. To search for a relevant image from an archive is a challenging research problem for computer vision research community. Most of the search engines retrieve images on the basis of traditional text-based approache

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Li, Runya, and Shenglian Li. "Multimedia Image Data Analysis Based on KNN Algorithm." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–8. http://dx.doi.org/10.1155/2022/7963603.

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In order to improve the authenticity of multispectral remote sensing image data analysis, the KNN algorithm and hyperspectral remote sensing technology are used to organically combine advanced multimedia technology with spectral technology to subdivide the spectrum. Different classification methods are used to classify CHRIS 0°, and the results are analyzed and compared: SVM classification accuracy is the highest 72 8448%, Kappa coefficient is 0.6770, and SVM is used to classify CHRIS images from five angles, and the results are compared and analyzed: the classification accuracy is from high t

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Zhang, Xuanyu, Chunwei Tian, Qi Zhang, Hong-Seng Gan, Tongtong Cheng, and Mohd Asrul Hery Ibrahim. "Lightweight Image Denoising Network for Multimedia Teaching System." Mathematics 11, no. 17 (2023): 3678. http://dx.doi.org/10.3390/math11173678.

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Due to COVID-19, online education has become an important tool for teachers to teach students. Also, teachers depend on a multimedia teaching system (platform) to finish online education. However, interacted images from a multimedia teaching system may suffer from noise. To address this issue, we propose a lightweight image denoising network (LIDNet) for multimedia teaching systems. A parallel network can be used to mine complementary information. To achieve an adaptive CNN, an omni-dimensional dynamic convolution fused into an upper network can automatically adjust parameters to achieve a rob

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Hu, Xiaoyong, Chenggen Peng, and Moutao Li. "Multimedia Image in Physical Education." Wireless Communications and Mobile Computing 2022 (May 4, 2022): 1–16. http://dx.doi.org/10.1155/2022/9646261.

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With the progress of society and the rapid development of science and technology in the world, the 21st century will be the multimedia era. Therefore, physical education teaching in colleges and universities should take the initiative to seize the opportunity, adapt to social needs, change traditional teaching concepts, introduce modern teaching methods into physical education teaching, enrich physical education teaching content, stimulate students’ interest in sports knowledge and sports technology learning, broaden knowledge horizons, improve teaching quality, and promote the development of

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Enser, Peter. "Image databases for multimedia projects." Journal of the American Society for Information Science 46, no. 1 (1995): 60–64. http://dx.doi.org/10.1002/(sici)1097-4571(199501)46:1<60::aid-asi7>3.0.co;2-3.

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Dai, Zhenhua, and Jie Yang. "A Multimedia Learning for Chinese Character Image Recognition via Human-Computer Interaction Network." Advances in Multimedia 2022 (May 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/4427091.

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As science and technology continue to develop, Chinese character image recognition technology is being used in a wide range of fields. This computer-based technology is a practical way of automatically recognizing images of text. Typically used in Chinese character education, it provides a new form of human–computer interaction for students. In addition, multimedia technology can provide a rich learning environment for students, which can present information about Chinese characters in the form of pictures, sounds, and videos, thus compensating for the disadvantages of learning Chinese charact

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Chen, Yu-Na, and Xuesen Zhang. "Evaluation of Multimedia Courseware-Assisted Teaching Effect of Medical Images Based on the Deep Learning Algorithm." Journal of Environmental and Public Health 2022 (September 29, 2022): 1–9. http://dx.doi.org/10.1155/2022/5991087.

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In order to improve the dynamic evaluation ability of medical image multimedia courseware-assisted teaching effect, the evaluation of medical image multimedia courseware-assisted teaching effect based on a deep learning algorithm is proposed. The statistical data analysis model of medical image multimedia courseware-assisted teaching effect is established to estimate its utilization rate and scale parameters. Based on the prediction of spatial attribute parameters, the classification big data mining model of medical image multimedia courseware-assisted teaching is constructed by using the deep

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Rasmi AL-Mousa, Mohammad, Fadi Al-salameen, and Khaled Eisa Alqawasmi. "Using Encryption Square Keywith One-Dimensional Matrix for Enhancing RGB Color Image Encryption-Decryption." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 771. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp771-777.

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<p class="Affiliation">Recently, the security of digital images becomes an important issue with the rapid growth of digital communication and multimedia application. Recent cryptography algorithms are providing essential techniques to protect information and multimedia data. However, those algorithms are usually suffering from the problem of time-consuming. Encryption algorithms have been growth quickly and many image encryption methods have been used to protect information and multimedia data from unauthorized access. This research presents effective technique for image encryption which

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Mohammad, Rasmi AL-Mousa, Al-salameen Fadi, and Al-Qawasmi Khaled. "Using Encryption Square Keywith One-dimensional Matrix for Enhancing RGB Color Image Encryption-Decryption." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 771–77. https://doi.org/10.11591/ijeecs.v9.i3.pp771-777.

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Recently, the security of digital images becomes an important issue with the rapid growth of digital communication and multimedia application. Recent cryptography algorithms are providing essential techniques to protect information and multimedia data. However, those algorithms are usually suffering from the problem of time-consuming. Encryption algorithms have been growth quickly and many image encryption methods have been used to protect information and multimedia data from unauthorized access. This research presents effective technique for image encryption which employs Red, Green and Blue

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Yuejue, Yan, Sun Xinze, Li Bingyue, and Wang Xiaoyuan. "Construct a Teaching System Combining Image Linguistics and Multimedia Technology." Wireless Communications and Mobile Computing 2021 (April 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/6699010.

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At present, the research on the theoretical system of multimedia image linguistics in my country is very limited. In order to further improve and develop the theoretical system of multimedia picture linguistics, this article extracts effective knowledge from the research results of educational technology, linguistics, psychology, and semiotics and establishes a teaching system based on image linguistics. Multimedia picture linguistics consists of three parts: structure, semantics, and pragmatics, corresponding to the artistic laws of multimedia pictures, the cognitive laws of multimedia pictur

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MORE, MAHADEV A. "CONTENT BASED IMAGE RETRIVAL USING DIFFERENT CLUSTERING TECHNIQUES." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 09 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem25835.

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CBIR (Content based image retrieval) is the software system for retrieving the images from the database by using their features. In CBIR technique, the images are retrieved from the dataset by using the features like color, text, shape,texture and similarity. Object recognition technique is used in CBIR. Research on multimedia systems and content-based image retrieval is given tremendous importance during the last decade. The reason behind this is the fact that multimedia databases handle text, audio, video and image information, which are of prime interest in web and other high end user appli

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Santosh, Mutnuru, Kumari Sah Sweeti, and Y. Pavan Kumar S. "Selective Encryption of Image by Number Maze Technique." International Journal on Cryptography and Information Security ( IJCIS) 10, no. 2 (2020): 1–11. https://doi.org/10.5281/zenodo.3974290.

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Due to enormous increase in the usage of computers and mobiles, today’s world is currently flooded with huge volumes of data. This paper is primarily focused on multimedia data and how it can be protected from unwanted attacks. Sharing of multimedia data is easy and very efficient, it has been a customary practice to share multimedia data but there is no proper encryption technique to encrypt multimedia data. Sharing of multimedia data over unprotected networks using DCT algorithm and then applying selective encryption-based algorithm has never been adequately studied. This paper introdu

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Salih, Abdulkreem Mohammed, Karam M. Z. Othman, and Shayma Wail Nourildean. "Improved Watermark Criteria Through Mark image." NTU Journal of Engineering and Technology 1, no. 2 (2022): 36–39. http://dx.doi.org/10.56286/ntujet.v1i2.131.

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With many applications using digital multimedia technologies, the need to protect digital multimedia data from hackers is emphasized. Copyright holders are concerned about protecting any kind of unlawful duplication of their information. With all these kinds of problems, technology development is very important. Digital watermarks are an important requirement to protect multimedia data. There are important criteria to measure the success of a watermarking process, it is confidentiality, capacity and reliability. In this paper, the logo mark was relied upon to achieve these criteria to a high d

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Cui, Yuan, and Bo Nian Li. "A Multimedia System Based on OMAP3530." Applied Mechanics and Materials 40-41 (November 2010): 506–9. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.506.

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JPEG images decoded and encoded rapidly and effectively based on OMAP3530 chip. USB camera deployed as images’ acquisition equipment, and used the ARM + DSP multi-core OMAP3530 processor as image decode-encode processing chip. The results sent to the user interface ultimately. System’s development was based on DVSDK. The result proved system fast than others.

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Liu, Yun Ling. "Research on the Visual Communication Design Based on Digital Multimedia." Advanced Materials Research 846-847 (November 2013): 1496–99. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1496.

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with the development of computer hardware and software performance improvement, digital multimedia technology has been applied to various fields, the effect of image visional transmission are mainly affected by the brightness, texture and color, and different image effects will produce different visual transmission effect. This paper starts from the brightness of the image, using the mathematical model of digital multimedia brightness change, and combined with MATLAB numerical simulation software, the digital multimedia visual effect design interface is developed. In order to verify the reliab

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Yu, Jinao, Hanyu Xue, Bo Liu, Yu Wang, Shibing Zhu, and Ming Ding. "GAN-Based Differential Private Image Privacy Protection Framework for the Internet of Multimedia Things." Sensors 21, no. 1 (2020): 58. http://dx.doi.org/10.3390/s21010058.

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With the development of the Internet of Multimedia Things (IoMT), an increasing amount of image data is collected by various multimedia devices, such as smartphones, cameras, and drones. This massive number of images are widely used in each field of IoMT, which presents substantial challenges for privacy preservation. In this paper, we propose a new image privacy protection framework in an effort to protect the sensitive personal information contained in images collected by IoMT devices. We aim to use deep neural network techniques to identify the privacy-sensitive content in images, and then

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Ahmed, K. T., H. Afzal, S. Iqbal, M. G. Hussain, M. R. Mufti, and A. Karim. "Highly Efficient Multimedia Image Retrieval using Slim Descriptor." Nucleus 57, no. 4 (2021): 118–28. https://doi.org/10.71330/nucleus.57.04.1148.

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Efficient multimedia image extraction with high precision compatible with diverse image datasets is an implicit requirement of current image retrieval systems. In this paper, a multimedia image descriptor is introduced to achieve high performance along with high accuracy. For this, Histograms of Oriented Gradients (HOG) are extracted from a dense grid partitioned image by taking edge intensity based orientation histograms as primitive feature vectors. We depleted these massive redundant candidates to linearly uncorrelated variables by applying orthogonal transformation to achieve Principal Com

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Ferdush, Jannatul, Mahbuba Begum, and Mohammad Shorif Uddin. "Chaotic Lightweight Cryptosystem for Image Encryption." Advances in Multimedia 2021 (May 22, 2021): 1–16. http://dx.doi.org/10.1155/2021/5527295.

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Data transmission over the Internet and the personal network has been risen day by day due to the advancement of multimedia technology. Hence, it is today’s prime concern to protect the data from unauthorized access and encrypt the multimedia element as they are stored on the web servers and transmitted over the networks. Therefore, multimedia data encryption is essential. But, the multimedia encryption algorithm is complex to implement as it requires more time and memory space. For this reason, the lightweight image encryption algorithm gains popularity that requires less memory and less time

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Devareddi, Ravi Babu, and Atluri Srikrishna. "Query-based image tagging model using ensemble learning with enhanced artificial bee colony optimization." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 2 (2023): 870. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp870-881.

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Digital images make up most multimedia data and are analysed in computer vision applications. Daily uploads of millions of pictures to Internet archives such as satellite image repositories complicate multimedia content and image graphs. As feature vectors, content based image retrieval (CBIR) and image classification models represent high-level image viewpoints. Observing photos recognizes objects and evaluates their significance for image enhancement. To access the visual information of big datasets, efficiently retrieve and query picture graphs. The artificial bee colony (ABC) algorithm is

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Ravi, Babu Devareddi, and Srikrishna Atluri. "Query-based image tagging model using ensemble learning with enhanced artificial bee colony optimization." Query-based image tagging model using ensemble learning with enhanced artificial bee colony optimization 30, no. 2 (2023): 870–81. https://doi.org/10.11591/ijeecs.v30.i2.pp870-881.

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Digital images make up most multimedia data and are analysed in computer vision applications. Daily uploads of millions of pictures to Internet archives such as satellite image repositories complicate multimedia content and image graphs. As feature vectors, content based image retrieval (CBIR) and image classification models represent high-level image viewpoints. Observing photos recognizes objects and evaluates their significance for image enhancement. To access the visual information of big datasets, efficiently retrieve and query picture graphs. The artificial bee colony (ABC) algorithm is

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Dewan, Jaya H., and Sudeep D. Thepade. "Image Retrieval Using Low Level and Local Features Contents: A Comprehensive Review." Applied Computational Intelligence and Soft Computing 2020 (October 22, 2020): 1–20. http://dx.doi.org/10.1155/2020/8851931.

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Billions of multimedia data files are getting created and shared on the web, mainly social media websites. The explosive increase in multimedia data, especially images and videos, has created an issue of searching and retrieving the relevant data from the archive collection. In the last few decades, the complexity of the image data has increased exponentially. Text-based image retrieval techniques do not meet the needs of the users due to the difference between image contents and text annotations associated with an image. Various methods have been proposed in recent years to tackle the problem

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David, Derroll, and Divya B. "Image Authentication Techniques and Advances Survey." COMPUSOFT: An International Journal of Advanced Computer Technology 04, no. 04 (2015): 1597–601. https://doi.org/10.5281/zenodo.14772053.

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With the advanced technologies in the area of Engineering the World has become a smaller place and communication is in our finger tips. The multimedia sharing traffic through electronic media has increased tremendously in the recent years with the higher use of social networking sites. The statistics of amount of images uploaded in the internet per day is very huge. Digital Image security has become vulnerable due to increase transmission over non-secure channel and needs protection. Digital Images play a crucial role in medical and military images etc. and any tampering of them is a serious i

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Kumar, H. B. "Digital Image Watermarking: An Overview." Oriental journal of computer science and technology 9, no. 1 (2016): 07–11. http://dx.doi.org/10.13005/ojcst/901.02.

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Multimedia security is extremely significant concern for the internet technology because of the ease of the duplication, distribution and manipulation of the multimedia data. The digital watermarking is a field of information hiding which hide the crucial information in the original data for protection illegal duplication and distribution of multimedia data. The image watermarking techniques may divide on the basis of domain like spatial domain or transform domain or on the basis of wavelets. The spatial domain techniques directly work on the pixels and the frequency domain works on the transf

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Mathew, Rose Mary, Sujesh P. Lal, and Gowri Ganesh. "A unified deep learning model for image captioning and text-‎to-image synthesis." International Journal of Basic and Applied Sciences 14, no. 1 (2025): 334–38. https://doi.org/10.14419/m9njft54.

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Deep learning models have significantly advanced various artificial intelligence tasks, including text-to-image generation and image caption‎ing. However, there remains a semantic gap between textual descriptions and visual representations, which affects the accuracy and coherence of generated images and captions. This paper proposes a novel deep learning model that integrates Stable Diffusion, Convolutional ‎Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks to enhance both text-to-image generation and image captioning ‎tasks. The model employs CNN-LSTM architecture for feature

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Vasuki, M. "Cloud Image Security Enhancement through Tunable Steganography for Clone Attack Mitigation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50068.

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ABSTRACT As enterprises increasingly rely on cloud platforms to store and manage multimedia content, the threat of image cloning attacks where adversaries illegally duplicate and exploit stored images has become a critical concern. Traditional encryption, while essential, often introduces detectable patterns that may attract attackers. In response, this study introduces a Tunable Steganographic Framework named the Customizable Image Steganography Model (CISM), designed to conceal sensitive image data seamlessly within benign cover images. Leveraging the Integer Wavelet Transform (IWT), CISM op

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Madhuri, Pydi, and K.L.Sailaja. "A Framework for the Image Retrieval System Based on Histogram Normalization Technique with Python." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2300–2304. https://doi.org/10.35940/ijeat.D9060.049420.

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The processing of multimedia content is used for real-world computer vision in various applications, and digital images make up a large part of multimedia data. The processing of multimedia content is used for real-computer vision in various applications, and digital images make up a large part of multimedia data. Content-based Retrieval of photographs (CBIR) is a system of picture recovery which utilizes the visual highlights of a picture, for example, shading, shape and surface so as to look through the client based inquiry pictures from the huge databases. CBIR relies upon highlight extract

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Du, Rui. "Practical Research on the Application of Multimedia and Visual Image Technology in the Cultivation of College Counselors in the Network Environment." International Journal of Information and Communication Technology Education 20, no. 1 (2024): 1–21. http://dx.doi.org/10.4018/ijicte.349570.

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In the context of the multimedia era, college counselors and college students should make progress together. This article aims to explore the practical issues of applying multimedia and visual-image technology to the training of college counselors. We propose a three-dimensional multimedia visual image recognition technology based on convolutional neural networks (CNNs) and apply the algorithm to image-recognition tasks to provide support and assistance for college-counselor training in network and multimedia environments. By combining a CNN with image recognition, our research results show th

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He, Yongqiang, Yongqiang He, and Wenxin Zhang. "Multimedia Image Remote Transmission System in Smart City." International Journal of Mathematics and Computer Research 09, no. 04 (2021): 2259–66. https://doi.org/10.5281/zenodo.4709493.

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With the construction of intelligent city, multimedia technology has been applied to all aspects of society. Multimedia image remote transmission in smart cities extracts structured data such as people, cars, objects and behaviors from video image resources. Through association analysis and processing of large data platform, this paper focuses on the low utilization rate of video image resources and the inadequate performance of video image application, and put forward the corresponding construction requirements. The detailed design of information database and other modules of multimedia image

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Bakış, Yasin, Xiaojun Wang, and Hank Bart. "Challenges in Curating 2D Multimedia Data in the Application of Machine Learning in Biodiversity Image Analysis." Biodiversity Information Science and Standards 5 (September 28, 2021): e75856. https://doi.org/10.3897/biss.5.75856.

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Over 1 billion biodiversity collection specimens ranging from fungi to fish to fossils are housed in more than 1,600 natural history collections across the United States. The digitization of these specimens has risen significantly within the last few decades and this is only likely to increase, as the use of digitized data gains more importance every day. Numerous experiments with automated image analysis have proven the practicality and usefulness of digitized biodiversity images by computational techniques such as neural networks and image processing. However, most of the computational techn

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