Intelligent Approaches for Adaptation and Distribution of Personalized Multimedia Content

Intelligent Multimedia Technologies for Networking Applications ◽

10.4018/978-1-4666-2833-5.ch008 ◽

2013 ◽

pp. 197-224 ◽

Cited By ~ 1

Author(s):

Artur Miguel Arsenio

Keyword(s):

Distribution System ◽

Service Providers ◽

Video On Demand ◽

End User ◽

Video Streams ◽

Content Consumption ◽

On Line ◽

Photo Editing ◽

Telecommunication Operators

Telecommunication operators need to deliver their clients not only new profitable services, but also good quality and interactive content. Some of this content, such as advertisements, generate revenues, while other contents generate revenues associated to a service, such as Video on Demand (VoD). One of the main concerns for current multimedia platforms is therefore the provisioning of content to end-users that generates revenue. Alternatives currently being explored include user-content generation as the content source (the prosumer model). However, a large source of revenue has pretty much been neglected, which corresponds to the capability of transforming, adapting content produced either by Content Providers (CPs) or by the end-user according to different categories, such as client location, personal settings, or business considerations, and to distribute such modified content. This chapter discusses and addresses this gap, proposing a content customization and distribution system for changing content consumption, by adapting content according to target end-user profiles (such as end-user personal tastes or its local social or geographic community). The aim is to give CPs ways to allow users and/or Service Providers (SPs) to configure contents according to different criteria, improving users’ quality of experience and SPs’ revenues generation, and to possibly charge users and SPs (e.g. advertisers) for such functionalities. The authors propose to employ artificial intelligence techniques, such as mixture of Gaussians, to learn the functional constraints faced by people, objects, or even scenes on a movie stream in order to support the content modification process. The solutions reported will allow SPs to provide the end-user with automatic ways to adapt and configure the (on-line, live) content to their tastes—and even more—to manipulate the content of live (or off-line) video streams (in the way that photo editing did for images or video editing, to a certain extent, did for off-line videos).

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Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms

Computer Vision ◽

10.4018/978-1-5225-5204-8.ch079 ◽

2018 ◽

pp. 1864-1892

Author(s):

Artur Miguel Arsenio

Keyword(s):

Computer Vision ◽

Image Quality ◽

Video Coding ◽

Quality Of Experience ◽

Service Providers ◽

End User ◽

Application Service Providers ◽

Application Service ◽

Content Consumption

One of the main concerns for current multimedia platforms is the provisioning of content that provides a good Quality of Experience to end-users. This can be achieved through new interactive, personalized content applications, as well by improving the image quality delivered to the end-user. This chapter addresses these issues by describing mechanisms for changing content consumption. The aim is to give Application Service Providers (ASPs) new ways to allow users to configure contents according to their personal tastes while also improving their Quality of Experience, and to possibly charge users for such functionalities. The authors propose to employ computer vision techniques to produce extra object information, which further expands the range of video personalization possibilities on the presence of new video coding mechanisms1.

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Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms

Research Developments in Biometrics and Video Processing Techniques - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-4666-4868-5.ch008 ◽

2013 ◽

pp. 156-182 ◽

Cited By ~ 1

Author(s):

Artur Miguel Arsenio

Keyword(s):

Computer Vision ◽

Image Quality ◽

Video Coding ◽

Quality Of Experience ◽

Service Providers ◽

End User ◽

Application Service Providers ◽

Application Service ◽

Content Consumption

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QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study

Transport and Telecommunication Journal ◽

10.2478/ttj-2020-0014 ◽

2020 ◽

Vol 21 (3) ◽

pp. 181-190

Author(s):

Jaroslav Frnda ◽

Marek Durica ◽

Mihail Savrasovs ◽

Philippe Fournier-Viger ◽

Jerry Chun-Wei Lin

Keyword(s):

Real Time ◽

Service Providers ◽

Mapping Function ◽

Video Stream ◽

Assessment Method ◽

End User ◽

Quality Perception ◽

Video Assessment ◽

Kohonen Map

AbstractThis paper deals with an analysis of Kohonen map usage possibility for real-time evaluation of end-user video quality perception. The Quality of Service framework (QoS) describes how the network impairments (network utilization or packet loss) influence the picture quality, but it does not reflect precisely on customer subjective perceived quality of received video stream. There are several objective video assessment metrics based on mathematical models trying to simulate human visual system but each of them has its own evaluation scale. This causes a serious problem for service providers to identify a critical point when intervention into the network behaviour is needed. On the other hand, subjective tests (Quality of Experience concept) are time-consuming and costly and of course, cannot be performed in real-time. Therefore, we proposed a mapping function able to predict subjective end-user quality perception based on the situation in a network, video stream features and results obtained from the objective video assessment method.

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Service Association Factor (SAF) for Cloud Service Selection and Recommendation

Information Technology And Control ◽

10.5755/j01.itc.49.1.23251 ◽

2020 ◽

Vol 49 (1) ◽

pp. 113-126

Author(s):

Imran Mujaddid Rabbani ◽

Muhammad Aslam ◽

Ana Maria Martinez Enriquez ◽

Zeeshan Qudeer

Keyword(s):

Recommendation System ◽

Service Providers ◽

Service Selection ◽

Cloud Service ◽

Base System ◽

End User ◽

Cloud Models ◽

Science Domain ◽

Quality Of Service Parameters

Cloud computing is one of the leading technology in IT and computer science domain. Business IT infrastructures are equipping themselves with modern regime of clouds. In the presence of several opportunities, selection criteria decision becomes vital when there is no supporting information available. Global clouds also need evaluation and assessment from its users that what they think about and how new ones could make their selection as per their needs. Recommended systems were built to propose best services using customer's feedback, applying quality of service parameters, assigning scores, trust worthiness and clustering in different forms and models. These techniques did not record and use interrelationships between the services that is true impact of service utilization. In the proposed approach, service association factor calculates value of interrelations among services used by the end user. An intelligent leaning based recommendation system is developed for assisting users to select services on their respective preferences. This technique is evaluated on leading service providers and results show that learning base system performs well on all types of cloud models.

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Semantic Handover among Distributed Coverage Zones for an Ambient Continuous Service Session

International Journal of Handheld Computing Research ◽

10.4018/jhcr.2013010103 ◽

2013 ◽

Vol 4 (1) ◽

pp. 37-58

Author(s):

Rachad Nassar ◽

Noëmie Simoni

Keyword(s):

Context Awareness ◽

Quality Of Experience ◽

Service Providers ◽

End User ◽

Spatial Mobility ◽

Mobility Service ◽

Continuous Service ◽

Coverage Zone ◽

Seamless Service

In a user-centric approach, the end-user wants the best Quality of Experience (QoE) and the highest context-awareness. Throughout end-user’s spatial mobility, service providers must continuously adapt the end-user’s service session according to his or her new ambient context, without neglecting functional preferences and demanded Quality of Service (QoS). Many spatial mobility management solutions have been conceived to help operators managing the network part of their end-users’ sessions. However, this problem is not yet investigated on the service layer. For this purpose, the authors propose in this paper the concept of semantic handover. This concept acts on the service layer by analogy to the network’s handover mechanisms. It is based on three complementary roles: the initiator, that detects a spatial mobility and initiates the semantic handover; the decider, that decides which services should be replaced in the end-user’s service session and what are their ubiquitous ambient counterparts; and the executor, that executes the decision and adapts the end-user’s service session to the new ambient context. This solution is based on highly scalable distributed coverage zones. Service providers must deploy their ubiquitous services, having the same functionality and an equivalent QoS, in different geographic areas, and they must associate each service to a specific coverage zone. Therefore, when the end-user moves among coverage zones, a semantic handover is launched to guarantee seamless service continuity throughout end-user’s ambient contexts.

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Enhancing power quality of ANN controller based PhotoVoltaic source injected DVR

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.31.13430 ◽

2018 ◽

Vol 7 (2.31) ◽

pp. 155

Author(s):

T Ramesh ◽

S K. Mayurinathan ◽

R Saravanan ◽

G Emayavaramban

Keyword(s):

Distribution System ◽

Distribution Systems ◽

Control Method ◽

Voltage Sag ◽

Voltage Waveform ◽

High Quality ◽

Load Voltage ◽

On Line ◽

Stable Voltage

The DVR is a series connected FACTS controller used to compensate voltage disturbance in distribution systems. The main purpose of the DVR is to examine the load voltage waveform regularly if any disorder happens, the equilibrium or excess voltage is injected to the load voltage. The most important advantage of the DVR is observance the users all the time on-line with high quality stable voltage maintaining the permanence of production. In this dissertation, a Photovoltaic voltage injected with an ANN control method for DVR that protects a sensitive load, to counter voltage sag under uneven loading conditions (linear, non-linear) is presented. DVR along with other parts of the distribution system are simulated using MATLAB/ SIMULINK.

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Quality Control of Subtitles

Journal of Audiovisual Translation ◽

10.47476/jat.v4i3.2021.182 ◽

2021 ◽

Vol 4 (3) ◽

Author(s):

Kristijan Nikolic

Keyword(s):

Quality Control ◽

Hard Of Hearing ◽

Service Providers ◽

Video On Demand ◽

Foreign Languages ◽

Online Questionnaire ◽

Production Chain ◽

Perception Of Quality ◽

Control Procedures

Quality control of subtitles is a relatively unresearched field, even though it has a significant influence on the overall quality, and thus viewers’ experience of subtitles. It is carried out in different ways: various language service providers and broadcasters have different procedures, for instance, it sometimes solely involves proofreading. An online questionnaire has been distributed among professionals involved in the production chain of subtitles: broadcasters, streaming and video-on-demand services, vendors also known as language service providers, subtitlers, quality controllers and proofreaders.The hope is that this report will enable professionals involved in quality control of subtitles to further enhance their quality control procedures. The results of this research could also be used in experimental investigation of viewers’ perception of quality in subtitling by using the same research methods applied in this study. Lay Summary We do not know much about the quality control of subtitles on which many viewers depend to be able to follow TV content in foreign languages, or because they are deaf or hard-of-hearing. I conducted research by means of an online questionnaire among professionals and organisations involved in the production of subtitles to check how and whether they ensure viewers get subtitles of the highest possible quality. One of the main findings of the survey is that all professionals involved in the subtitling process think that the quality of subtitles is important, and that freelance subtitlers largely don’t think their clients pay enough attention to subtitling quality. The questionnaire was sent to TV and streaming broadcasters, agencies that work as intermediaries between broadcasters and subtitlers, quality controllers and proofreaders. Based on the findings of this survey, I have recommended several steps that can be taken to ensure better quality subtitles.

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Inferring Streaming Video Quality from Encrypted Traffic

ACM SIGMETRICS Performance Evaluation Review ◽

10.1145/3453953.3453958 ◽

2021 ◽

Vol 48 (3) ◽

pp. 27-32

Author(s):

Francesco Bronzino ◽

Paul Schmitt ◽

Sara Ayoubi ◽

Guilherme Martins ◽

Renata Teixeira ◽

...

Keyword(s):

Service Providers ◽

Video Quality ◽

Composite Model ◽

Streaming Video ◽

Internet Service Providers ◽

Video Streams ◽

Internet Service ◽

Startup Delay ◽

Encrypted Traffic

Inferring the quality of streaming video applications is important for Internet service providers, but the fact that most video streams are encrypted makes it difficult to do so.We develop models that infer quality metrics (i.e., startup delay and resolution) for encrypted streaming video services. Our paper builds on previous work, but extends it in several ways. First, the models work in deployment settings where the video sessions and segments must be identified from a mix of traffic and the time precision of the collected traffic statistics is more coarse (e.g., due to aggregation). Second, we develop a single composite model that works for a range of different services (i.e., Netflix, YouTube, Amazon, and Twitch), as opposed to just a single service. Third, unlike many previous models, our models perform predictions at finer granularity (e.g., the precise startup delay instead of just detecting short versus long delays) allowing to draw better conclusions on the ongoing streaming quality. Fourth, we demonstrate the models are practical through a 16-month deployment in 66 homes and provide new insights about the relationships between Internet "speed" and the quality of the corresponding video streams, for a variety of services; we find that higher speeds provide only minimal improvements to startup delay and resolution.

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