Large Amounts Of Multimedia Content Research Articles

Associations between Feelings of Loneliness and Attitudes towards Physical Education in Contemporary Adolescents According to Sex, and Physical Activity Engagement.

Background: Currently, adolescents grow up consuming a large amount of multimedia content and lead a sedentary lifestyle. As a result, emerging trends show greater feelings of loneliness. The present research seeks to describe adolescents’ attitudes towards Physical Education (PE), indices of loneliness and physical activity (PA) engagement. Further, it analyses associations between attitudes towards PE as a function of PA engagement and considers sex, loneliness and school year repetition as factors. Method: A sample of 2388 adolescents (43.3% males and 56.6% females) was recruited. Participants were aged 11–17 years (M = 13.8 years; SD = 1.2) and came from Spain. The following instruments were used: The Attitudes towards Physical Education questionnaire (AQPE) in order to analyze attitudes towards PE, and the University of California at Los Angeles (UCLA) loneliness scale to estimate loneliness. Results: With regard to sex and attitudes towards PE, significant differences were detected in relation to the difficulty of PE, with higher values being achieved in males (M = 2.4) than females (M = 2.3). A medium correlation emerged between the dimension of loneliness and the usefulness of PE (r = 0.323 **). Conclusions: It is confirmed that adolescents who experience greater levels of emotional or relational loneliness have less positive attitudes towards PE.

An efficient bi-layer content based image retrieval system

Large amount of multi-media content, generated by various image capturing devices, is shared and downloaded by millions of users across the globe, every second. High computation cost is inured in providing visually similar results to the user’s query. Annotation based image retrieval is not efficient since annotations vary in terms of languages while pixel wise matching of images is not preferred since the orientation, scale, image capturing style, angle, storage pattern etc. bring huge amount of variations in the images. Content Based Image Retrieval (CBIR) system is frequently used in such cases since it computes similarity between query image and images of reference dataset efficiently. A Bi-layer Content Based Image Retrieval (BiCBIR) system has been proposed in this paper which consists of two modules: first module extracts the features of dataset images in terms of color, texture and shape. Second module consists of two layers: initially all images are compared with query image for shape and texture feature space and indexes of M most similar images to the query image are retrieved. Next, M images retrieved from previous layer are matched with query image for shape and color feature space and F images similar to the query image are returned as a output. Experimental results show that BiCBIR system outperforms the available state-of-the-art image retrieval systems.

P2P 환경에서 융복합 컨텐츠 사용 빈도수에 따른 통신 오버헤드 관리 기법

Abstract The P2P technology is becoming a technology for receiving a service, such as the latest YouTube and Facebook. P2P technology can be easily downloaded to a large amount of multimedia content over a distributed environment. However, pictures, music, a large amount of multimedia content such as videos each user is unable to manage the content management operating smoothly because, Song․ communication processing overhead caused when the reception is likely to remain the problem. In this paper, we propose a convergence content management technique that provides a low communication overhead of the frequency of use of the convergence content when trying to provide a large amount of convergence content to users in a distributed environment. Our method can be used to select the appropriate frequency is high among the shared content on the P2P multimedia environments that are distributed across a frequency of use of the convergence content and provides the service. Experimental evaluation proposed method, the convergence content browsing speed than conventional techniques improved communication about 13.3% and reduced overhead to about 9.5%.

IPTV over EPON: Synthetic traffic generation and performance evaluation

In an increasingly content-centric world where users consume large amounts of multimedia content, video delivery platforms over packet networks, such as Internet Protocol Television (IPTV), are gaining rapid popularity. At the same time, to serve the ever-increasing bandwidth demand from users, access networks, traditionally the bottleneck for high-bandwidth applications, are also undergoing rapid evolution. Forecasting how streaming IPTV over a network will perform is challenging as the data rate of a video stream varies with scene, time, framerate, and encoding. Nevertheless, it is important to evaluate the performance of an access network for IPTV traffic to ensure good Quality of Service (QoS) for users. Using video traces for such evaluation requires multiple video traces to represent different scenarios and generally involves slow I/O-based operations, such as file reading. To overcome these limitations, in this paper, we explore several aspects of modeling IPTV streaming, and present a synthetic video trace generator that closely resembles the empirical IPTV traces. Our analysis confirms that our synthetic video trace follows the statistical properties of empirical videos, and its resultant data rate is representative of the IPTV video streaming. Next we study the performance of Ethernet Passive Optical Network (EPON) in streaming IPTV by using the generated synthetic trace. Parameters of interest are the number of parallel video streams supported, the effects of the degree of video compression, average and maximum packet delays, and packet delay variances (jitter). It is shown that 10G-EPON can support a large number of parallel IPTV channels at moderate rates of video compression.

Preface: Internet multimedia computing and service

There exist large amounts of multimedia content on the Internet. However, current consumer expectations for multimedia applications still far exceed the achievement of today's state of the art technologies. There is a technical gap between rich multimedia contents and multimedia computing technologies. This special issue focuses on the problem of Internet Multimedia Computing and Service, which aims at providing readers new perspectives on this hot research area. This special issue contains 10 papers covering various aspects of Internet multimedia, which can be categorized into three groups: semantic multimedia understanding, adaptive Internet multimedia access, and human-centered multimedia service. We believe that the papers included in this special issue not only provide outstanding research contributions but also form the latest overview of research interest in this field. The key ideas and contributions of these papers are summarized as below.