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14th International conference on Signal Image Technology & Internet Based systems (SITIS)

作者： AlMalki, Sheymaa Khalid AlMalki, Hajer Khalid AlMansour, Amal Abdullah King Abdulaziz Univ Fac Comp & Informat Technol POB 80200 Jeddah 21589 Saudi Arabia

ISBN: (纸本)9781538693858

Due to the availability and ease of advanced image editing techniques, individuals now can edit and alter images, sometimes in a way make it hard for the human eye to differentiate the altered images from the authentic ones. Moreover, recently the freedom and the simplicity of social network platforms facilities sharing and spreading online content with numerous suspicious images. As images have a powerful influence on a watcher's attitude and action towards the surrounded issue, therefore, there is a need to guarantee the trustworthiness of images attached to the online content. This research study aims to develop a system to automate authenticity analysis of images which helps users to detect altered images in online content. The developed system makes the use of both Error Level Analysis (ELA) and Clone detection algorithms to detect the modified parts in deceptive images and provide more clear explanation of the results. Steps has been added to the Error Level Analysis (ELA) algorithm to enhance the generated detection results. Based on the results from the developed system, we can conclude that our system can detect different image forgeries and display clear image analysis results for both deceptive and authentic images and had received a high level of satisfaction and willingness from different type of users.

关键词： Authenticity analysis of images Clone detection Error level analysis

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Natural Image Interpolation Using Extreme Learning Machine 8th

Natural Image Interpolation Using Extreme Learning Machine

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8th International conference on Soft Computing and Pattern Recognition (SoCPaR) / 8th International conference on Computational Aspects of Social Networks (CASoN)

作者： Dubey, Aman Lohiya, Akshay Narwal, Vishwajeet Jha, Abhinash Kumar Agarwal, Punjal Schaefer, Gerald Sapient Consulting Pvt Ltd Associate Technol New Delhi India Sapient Associate Technol Rewari India LNM Inst Informat Technol Jaipur Rajasthan India HT Media Pvt Ltd Multimedia Content Management Div Hindustan Times New Delhi India Loughbrough Univ Dept Comp Sci Loughborough Leics England

ISBN: (纸本)9783319606187;9783319606170

Standard image interpolation methods use a uniform interpolation filter on the entire image. To achieve improved results on specific structures, content adaptive interpolation methods have been introduced. However, these are typically limited to fit image data into a linear model in each class. In this paper, we investigate replacing the linear model by a flexible non-linear model, resulting in a novel interpolation algorithm based on extreme learning machines. Extreme learning machines (ELMs) is a relatively recent learning algorithm for single hidden layer feed-forward neural networks, which compared with conventional neural network learning algorithms, overcomes slow training speed and over-fitting problems. Based on an extensive set of experiments, we show that our proposed approach yields improved image quality, as confirmed by both objective and subjective results.

关键词： Interpolation Zooming Extreme learning machine (ELM) Single-hidden layer feed forward neural networks (SLFNs) Moore Penrose generalised inverse

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3rd International conference on Future access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2017

3rd International Conference on Future Access Enablers for U...

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3rd International conference on Future access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2017

ISBN: (纸本)9783319922126

The proceedings contain 37 papers. The special focus in this conference is on Future access Enablers for Ubiquitous and Intelligent Infrastructures. The topics include: Microwave microstrip antenna bio-inspired from dendritic tree;smart pharma: Towards efficient healthcare ecosystem;sign language translator system;analysis of relay selection game in a cooperative communication scenario;Estimation algorithm for large MIMO system;Quantitative theory of signal inversion in RFID;Architecture of a wireless transport network emulator for SDN applications development;neural network based architecture for fatigue detection based on the facial action coding system;using off-line handwriting to predict blood pressure level: A neural-network-based approach;Considerations on estimating the minimal level of attenuation in TEMPEST filtering for IT equipments;SDWN for end-to-end QoS path selection in a wireless network ecosystem;intelligent low-power displaying and alerting infrastructure for secure institutional networks;on the regularization of the memory-improved proportionate affine projection algorithm;smartGreeting: A new smart home system which enables context-aware services;a new approach in creating decision systems used for speaker authentication;Efficient transform coefficient coding in HEVC;investigation on a multimedia forensic noise reduction method based on proportionate adaptive algorithms;encrypting multimedia data using modified baptista’s chaos-based algorithm;real - Time spatial light modulated digital holographic interferometry applied in art structural diagnosis;Studies on the transient, continuous and pulsed regimes of high power LEDs;innovative platform for resource allocation in 5G M2M systems;performance improvement of a multi-head optical wireless communication system;key aspects of infrastructure-to-vehicle signaling using visible light communications;pesticide telemetry using potentiostat.

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Dynamic Temporal Alignment of Slovak Audiovisual content

Dynamic Temporal Alignment of Slovak Audiovisual Content

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International conference on Emerging eLearning Technologies and Applications (ICETA)

作者： J. Staš M. Lojka P. Viszlay D. Hládek J. Juhár Department of Electronics and Multimedia Communications Technical University of Košice Boženy Němcovej 32 Košice Slovakia T-Systems Slovakia s.r.o Žriedlová 13 Košice Slovakia Tatrabanka a.s Černyševského 50 Bratislava 5 Slovakia

ISBN: (数字)9781728149677

ISBN: (纸本)9781728149684

access to information means power and advantage. The broadcast news is one of the information sources, where subtitling of the live broadcast is difficult. Breaking the task into smaller pieces and individually solving them appears to be the right way of subtitling the whole broadcast. The studio anchors reading predefined text from a teleprompter and announcing the news are an integral part of the broadcasted news. The transcription of the text read by the reporters and characteristics of the speech help to develop the automatic subtitling system. This paper describes a system based on dynamic temporal alignment of the Slovak speech and predefined text transcripts, with the alignment accuracy above 97%.

关键词： Speech recognition TV Acoustics Adaptation models Phonetics Delays Speech processing

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content-aware cognitive interference control for urban IoT systems

Content-aware cognitive interference control for urban IoT s...

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作者： Baidya, Sabur Levorato, Marco Donald Bren School of Information and Computer Science University of California IrvineCA92617 United States

A novel cognitive interference control framework for heterogeneous local access networks supporting computing and data processing in urban Internet of Things (IoT) systems is presented. The notion of cognitive content-aware interference control is introduced, where the transmission pattern of cognitive nodes is dynamically adapted to the state of 'protected' IoT data streams. The state describes the performance degradation that interference would cause to algorithms processing the data if the cognitive nodes chose to transmit in the corresponding time period. The framework is instantiated for a case-study scenario, where device-to-device (D2D) and long-term evolution communications coexist on the same channel resource. A city-monitoring application is considered, where the state captures the type of frames within a multimedia video stream processed at the edge of the network to detect and track objects. Numerical results show that the proposed cognitive transmission strategy enables a significant throughput increase of local D2D communications for a target accuracy of the monitoring application. © 2015 IEEE.

关键词： Internet of things

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Joint wireless access-backhaul network slicing and content caching optimization

Joint wireless access-backhaul network slicing and content c...

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2018 IEEE International conference on Communications Workshops, ICC Workshops 2018

作者： Tran, Thinh Duy Le, Long Bao INRS-EMT University of Quebec MontréalQC Canada

ISBN: (纸本)9781538643280

Network slicing is a novel paradigm shift in the fifth-generation (5G) virtualized wireless network design, which enables to reduce the operation cost (OPEX), improve network resource utilization efficiency, and speed up new service deployment. Wireless backhauling has been also recognized as an important and promising 5G network element to further ease network implementation and reduce OPEX. Meanwhile, intelligent content caching, which places popular contents at the network edge, can help relieve the backhaul congestion and improve user quality of service (QoS). Joint content caching and network slicing in the wireless backhaul based 5G networks, however, present great potential and challenges. In this paper, we study the joint resource allocation and content caching problem which aims to efficiently orchestrate the resource management in both wireless access and backhaul networks and caching storage repository. Our design objective is to minimize the maximum content request outage probability experienced by users associated with different cells and from different mobile virtual network operators (MVNOs). The underlying optimization problem is a mixed- integer non-linear program (MINLP), which is difficult to tackle. We propose a bisection-search based algorithm that iteratively optimizes the resource allocation and content caching strategy. The efficacy of our proposed framework is confirmed by extensive numerical results, which shows the significant reduction of request outage probability compared to other benchmark algorithms. © 2018 IEEE.

关键词： 5G mobile communication systems

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Management of mobile objects location for video content filtering 2018

Management of mobile objects location for video content filt...

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16th International conference on Advances in Mobile Computing and multimedia, MoMM 2018

作者： Panta, Franck Jeveme Qodseya, Mahmoud Sèdes, Florence Péninou, André IRIT Université Paul Sabatier Toulouse France

ISBN: (纸本)9781450364522

The use of mobile devices and the development of geo-positioning technologies make applications that use location-based services very attractive and useful. These applications are composed of sensors that generate various and heterogeneous spatio-temporal data. Exploiting this spatio-temporal data to support video surveillance systems remains a relevant purpose for video content filtering. Since the data processed in such a context are heterogeneous (indoor and outdoor environment, various position types and reference systems, various data format), interoperability and management of these data remains a problem to be solved. In this paper, we define an approach that integrates camera location and field of view metadata, mobile objects trajectories, and metadata from video content analysis algorithms (e.g. detection and movement of mobile objects) to address problems related to processing of huge amount of data (big data) generated by CCTV systems. We propose a new generic trajectory based query in order to handle trajectory segment's heterogeneity for both environments (indoor and outdoor). The proposed data model integrate multi-source metadata and enable to handle interoperability issue of data. Our querying mechanism enable to automatically retrieve video segments that could contain relevant information for the CCTV operator (suspects, trajectories, etc.). We provide an experimental evaluation demonstrating the utility of our approach in a real-world case. Results show that the proposed approach enhances the efficiency of investigators by reducing the search space, as the operator will analyze only the relevant data, therefore he needs less time for video processing (video reviewing). © 2018 Association for Computing Machinery.

关键词： Metadata

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Online evaluations for everyone: Mr. Dlib’s living lab for scholarly recommendations 41st

Online evaluations for everyone: Mr. Dlib’s living lab for ...

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41st European conference on Information Retrieval, ECIR 2019

作者： Beel, Joeran Collins, Andrew Kopp, Oliver Dietz, Linus W. Knoth, Petr School of Computer Science and Statistics ADAPT Centre Trinity College Dublin Dublin Ireland Digital Content and Media Sciences Division National Institute of Informatics Tokyo Japan IPVS University of Stuttgart Stuttgart Germany Department of Informatics Technical University of Munich Garching Germany Knowledge Media Institute The Open University London United Kingdom

ISBN: (纸本)9783030157180

We introduce the first ‘living lab’ for scholarly recommender systems. This lab allows recommender-system researchers to conduct online evaluations of their novel algorithms for scholarly recommendations, i.e., recommendations for research papers, citations, conferences, research grants, etc. Recommendations are delivered through the living lab’s API to platforms such as reference management software and digital libraries. The living lab is built on top of the recommender-system as-a-service Mr. DLib. Current partners are the reference management software JabRef and the CORE research team. We present the architecture of Mr. DLib’s living lab as well as usage statistics on the first sixteen months of operating it. During this time, 1,826,643 recommendations were delivered with an average click-through rate of 0.21%. © Springer Nature Switzerland AG 2019.

关键词： Recommender systems

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Did the Super Bowl Kill the Internet?

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IEEE access 2017年 5卷 9812-9822页

作者： Morales, Nestor Bergstrom, Mattias System73 Santa Cruz De Tenerife Spain

Given the rapid increase in Internet streaming services to access multimedia content, to the detriment of traditional cable, satellite, and terrestrial, it is to be expected that this traffic will affect the performance of the Internet at several levels. One such level is the communication between autonomous systems that is primarily based on border gateway protocol (BGP). In order to understand this impact, a tool was developed to detect the problems that occur during a specific time period. This tool is able to identify and classify flapping events providing information about the networks potentially involved in the disruptions. The main focus of this paper is the analysis of the BGP updates registered during Super Bowl 2016 in order to understand how a large streaming event affects the Internet at the BGP level. Those results show that an increase in the number of updates happened during key times when a large number of concurrent viewers connected to the game. Many dampening and flapping events were observed accordingly. From those events, networks potentially affected were detected and categorized. The results of our study suggest that the Internet is not prepared to accommodate the potential streaming traffic generated during major events. This is of utmost importance for content providers and content delivery networks in designing their broadcast strategies which should take into consideration not only the scalability of their own servers but also the way in which data reaches the viewer.

关键词： Broadcast technology Internet topology multimedia communication border gateway protocol super bowl quality of experience BGP flapping classification algorithms

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Blind Image Quality Assessment for Screen content Images Based on Patch-wise Multi-order Derivatives 10

Blind Image Quality Assessment for Screen Content Images Bas...

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10th International conference on Digital Image Processing (ICDIP)

作者： Yang, Wenming Zeng, Zhengda Sun, Wen Liao, Qingmin Tsinghua Univ Grad Sch Shenzhen Shenzhen Key Lab Info Sci & Tech Shenzhen Engn Lab IS & DCPDept Elect Engn Shenzhen Peoples R China

ISBN: (数字)9781510622005

ISBN: (纸本)9781510622005

The Screen content images (SCIs) are images containing textual and pictorial regions, which have become more and more connected with our daily life with the widespread adoption of multimedia applications. In particular, the image quality assessment (IQA) of SCIs is important because of its good property to guide and optimize lots of image processing systems. However, the no-reference (NR) IQA algorithms receive little attention and achieve unsatisfactory performance. Hence, this paper proposes a novel no-reference IQA method based on patch-wise multi-order derivatives for SCIs. This method includes two stages: patch-wise image quality evaluation and quality pooling. The first stage focuses on learning visual quality of local regions. Two features of image patches are extracted: multi-order derivative statistics, multi-order derivative histograms, which respectively describe the global and local information of the multi-order derivatives. Then the support vector regression (SVR) is applied to measure visual quality of image patches given a set of extracted features. The second stage aims at pooling patch-wise quality to an overall quality score with weights derived from entropy of gradient information of SCIs. Experimental results show that our method obtains superior performance against state-of-the-art NR-IQA approaches on the SIQAD database of SCIs, and also achieves competitive performance against state-of-the-art FR-IQA methods for SCIs.

关键词： No-reference (Blind) image quality assessment Screen content Images (SCIs) multi-order derivatives patch-wise

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