Freely Available Large-scale Video Quality Assessment Database in Full-HD Resolution with H.264 Coding

International audienceVideo databases often focus on a particular use case with a limited set of sequences. In this paper, a different type of database creation is proposed: an exhaustive number of test conditions will be continuously created and made freely available for objective and subjective evaluation. At the moment, the database comprises more than ten thousand JM/x264-encoded video sequences. An extensive study of the possible encoding parameter space led to a first subset selection of 1296 configura- tions. At the moment, only ten source sequences have been used, but extension to more than one hundred sequences is planned. Some Full-Reference (FR) and No-Reference (NR) metrics were selected and calculated. The resulting data will be freely available to the research community and possible exploitation areas are suggested

Large-scale Research on Quality of Experience (QoE) Algorithms

The large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension. The paper describes a comprehensive evaluationexperiment on perceived video quality. Consequently, in summary, 19 200 000video frames will be processed. Given the scale of the experiment, it is setup on a computer cluster in order to accelerate the calculations significantly.This work on Quality of Experience (QoE) is synchronized with that conductedby the Video Quality Experts Group (VQEG), in particular the Joint EffortsGroup (JEG) – Hybrid group project

Definition of requirements for accessing multilingual information opinions

International audienceIn this paper, we will present a study concerning the understanding of the needs of people using Internet in order to access to multilingual information. In fact, in the framework of AMIS (Accessing Multilingual Information and opinionS), a Chist-Era project, we propose to develop a system which will help to understand the main idea of a video in a foreign language. In order to design a useful system, a survey allowing to specify the profile of potential users of AMIS has been conducted. The study concerned 170 people from different countries: Poland, Spain and France. The sample is composed of people of different ages and different culture and languages.The results, in terms of requirements, achieved from this study show differences depending on how often the people watch the news on TV or review them on the Internet, and on the age of the target group. These concrete results help us in several decisions concerning how to build a realistic architecture of AMIS

A First Summarization System of a Video in a Target Language

International audienceIn this paper, we present the first results of the project AMIS (Access Multilingual Information opinionS) funded by Chist-Era. The main goal of this project is to understand the content of a video in a foreign language. In this work, we consider the understanding process, such as the aptitude to capture the most important ideas contained in a media expressed in a foreign language. In other words, the understanding will be approached by the global meaning of the content of a support and not by the meaning of each fragment of a video. Several stumbling points remain before reaching the fixed goal. They concern the following aspects: Video summarization, Speech recognition, Machine translation and Speech segmentation. All these issues will be discussed and the methods used to develop each of these components will be presented. A first implementation is achieved and each component of this system is evaluated on a representative test data. We propose also a protocol for a global subjective evaluation of AMIS

Recognition Tasks

International audienceThis chapter proposes a definition of Quality of Experience (QoE) in the case of task based applications. The definition is followed by the describing of the current work in the field of the QoE methodology in the specific case of a security system. Different metrics predicting QoE proposed in the literature are discussed

Framework for the integrated video quality assessment

Through years of development Content Networks (CN) have become more sophisticated and more technically diverse. Modern CN are designed to be more adaptive to communication environment, devices and user requirements. However, one open issue is the still fluctuating quality of service provision. As a result user experience can be negatively affected. In order to maintain a satisfactory level of user experience it is crucial to develop a feasible solution to measure the extent to which video services meet users’ expectation. Assessing video quality with respect to users’ subjective opinions is a complex task. In this paper we address challenges of this task and design an integrated framework using a number of comprehensive functional modules. Our framework integrates objective quality assessment models of Artifacts Measurement (AM) and Quality of Delivery (QoD) approaches. Only the fittest models are activated by the framework considering requirements of individual evaluation tasks. We also introduce our recent work of realising key functional modules of the framework. Joint subjective experiments between two institutes have also been carried out for the purpose of model implementation and evaluation. Results from experiments verify the concept of an integrated framework and show the effectiveness of its key modules in estimating the quality level of video services

Special section on human-centric multimedia networking:guest editorial

In recent years real-time multimedia services have been contributing extensively to our life experience and are expected to be among the most important applications in the Future Internet. User demands for multimedia access anywhere, anytime from any device are creating new challenges for research communities from both academia and industry. It is expected that multimedia services alone will account for 90% of all consumer network traffic in few years and we will continue to witness the explosive growth in users sharing multimedia content over future multimedia networks. In this context, novel network, application, green, monitoring, measurement, optimization, storage and user-based approaches must be created to deal with such complex multimedia systems

A First Summarization System of a Video in a Target Language

International audienceIn this paper, we present the first results of the project AMIS (Access Multilingual Information opinionS) funded by Chist-Era. The main goal of this project is to understand the content of a video in a foreign language. In this work, we consider the understanding process, such as the aptitude to capture the most important ideas contained in a media expressed in a foreign language. In other words, the understanding will be approached by the global meaning of the content of a support and not by the meaning of each fragment of a video. Several stumbling points remain before reaching the fixed goal. They concern the following aspects: Video summarization, Speech recognition, Machine translation and Speech segmentation. All these issues will be discussed and the methods used to develop each of these components will be presented. A first implementation is achieved and each component of this system is evaluated on a representative test data. We propose also a protocol for a global subjective evaluation of AMIS