This special issue introduces seven papers selected from the IMMCN' 2005,covering a wide range of emerging topics in multimedia field. These papers receive high scores andgood comments from the reviewers in their ...
This special issue introduces seven papers selected from the IMMCN' 2005,covering a wide range of emerging topics in multimedia field. These papers receive high scores andgood comments from the reviewers in their respective areas of intelligent and next-generationnetworking, technology and application, multimedia coding, content analysis and retrieval. The sevenpapers are extended to 20 pages and then gone through another review process before the finalpublication. In this issue, we have two papers for video streaming, two papers for multimediaapplications, one paper for video coding, and two papers for image and video retrieval.
The proceedings contain 14 papers. The topics discussed include: leveraging local binary patterns with transfer learning for face recognition in low-light conditions;examining the relationship between big data analyti...
ISBN:
(纸本)9798350354737
The proceedings contain 14 papers. The topics discussed include: leveraging local binary patterns with transfer learning for face recognition in low-light conditions;examining the relationship between big data analytics, consumer response and product success;exploiting machine learning for osteoporosis risk prediction and early intervention;a novel approximate computing method for efficient search in satellite remote sensing products;indoor hybrid WiFi/LiFi wireless networks (IHWLNets): architecture, channel models, state of the art, and future directions;investigating the impact of perceived usefulness, technological factors, and big data on digital marketing adoption and tourists' purchase intentions(case study);and the evolution of social media: from connecting people to empowering influencers.
The proceedings contain 20 papers. The topics discussed include: interaction of motion energy with gesture, extroversion, dominance, and collaboration in dialogue;artificial intelligence tools in media and journalism:...
ISBN:
(纸本)9798350339277
The proceedings contain 20 papers. The topics discussed include: interaction of motion energy with gesture, extroversion, dominance, and collaboration in dialogue;artificial intelligence tools in media and journalism: roles and concerns;turning smartphone camera into a fungal infection detector for chickpea seed germination;multi-label classification of emotions in Arabic tweets from different perspectives;the theory of planned behavior regarding artificial intelligence in recommendations and selection of YouTube news content;determinants behind continuous intention to use data journalism among Emirati journalists;runs in the family: malware family variants identification through API sequence and frequency analysis;enhanced neural speech recognizer for Quranic recitations;towards a framework to assess the impact of design patterns on software metrics;a study of students' knowledge, skills, and attitudes toward the use of infographics as a teaching tool;exploiting MIMO and cognitive radio for improved performance in indoor communication systems;and on the reliability of computer simulations in evaluating the structural performance of reinforced concrete beams under dynamic load.
Over the past decade, the rise of broadband and mobile Internet access has led to the widespread adoption of real-time networking and multimedia applications. These platforms have become essential for connecting indiv...
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The proceedings contain 105 papers. The topics discussed include: evolutionary computation in early detection and classification of plant diseases from aerial view of agricultural lands;innovative fire and gas recogni...
The proceedings contain 105 papers. The topics discussed include: evolutionary computation in early detection and classification of plant diseases from aerial view of agricultural lands;innovative fire and gas recognition system featuring remote monitoring and automated alerts;real-time object recognition for advanced driver-assistance systems (ADAS) using deep learning on edge devices;adaptive anomaly detection in cardiovascular time series through deep reinforcement and active learning;challenges and innovations in multimedia and real-time networking: a review of modeling approaches;improving breast cancer diagnosis through advanced image analysis and neural network classifications;and survey of hybrid deep learning autoencoders for enhanced visible light communication systems.
The Internet of Things (IoT) is one of the most promising applications in the field of computer networking. Edge computing is a computationally efficient method for processing user data in a terrestrial-satellite hybr...
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Information technology sees unparalleled growth. The demand for stronger data security relating to some sensitive class of multimedia data is growing. This article compares creative methods of embedding audio into ima...
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ISBN:
(数字)9798331524227
ISBN:
(纸本)9798331524234
Information technology sees unparalleled growth. The demand for stronger data security relating to some sensitive class of multimedia data is growing. This article compares creative methods of embedding audio into images using various image transforms and decomposition methods namely DWT, LP, and PCA. This approach ensures augmented security, robustness, and imperceptibility, and addresses known pitfalls in standard interleaving techniques. With DWT performing hierarchical multi-resolution analysis, LP capturing multi-scale representation, and PCA enabling dimensionality reduction, the embedding process is optimized to preserve both audio and image quality. Rigorous experimentation under attack scenarios ensures successful embedding and secure transmission. Objective evaluations like SNR, PESQ, BER, and LSD affirm robustness and perceptual transparency. The work demonstrates notable improvement, making it a viable solution for secure multimedia communication.
Small to medium-scale farmers in the Philippines face challenges in connecting with buyers due to limited marketing capabilities, facilities, and industry connections, leading to the exploitation of farmers through un...
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Recent advancements in on-demand multimedia streaming have revealed the potential of this business model, driven by the convenience of accessing content anytime and anywhere. However, delivering a seamless user experi...
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ISBN:
(数字)9798331506940
ISBN:
(纸本)9798331506957
Recent advancements in on-demand multimedia streaming have revealed the potential of this business model, driven by the convenience of accessing content anytime and anywhere. However, delivering a seamless user experience remains challenging due to the demanding nature of audiovisual streams, despite significant resource allocation. A promising solution involves using load balancers to distribute workloads evenly among processing units. This study proposes optimizing the processing and transmission resources by means of Software-Defined Networks (SDN). By continuously monitoring performance metrics like CPU usage and throughput, the SDN network controller determines the best server for handling new connections, even allowing seamless server migration during playback. The results show up to 80% faster response times and more consistent video quality, with reduced latency and uninterrupted playback. The approach also confirms the feasibility of SDN in streaming services, providing a foundation for future network improvements.
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