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In multimedia distribution platforms, one of the main challenges is to provide an efficient and accurate tracing process despite the lack of information about the colluders' strategy. Indeed, the original Tardos tracing performance is considered as suboptimal because of its agnostic behavior and conservative accusation regardless the collusion strategy. The Expectation Maximization algorithm has shown...
This study proposes an automatic method for key-events detection and summarization for cricket videos, particularly because of the longest match durations, broadcasting time concerns and largely available multimedia content. In the proposed work, first rule-based induction is applied to detect excited audio clips in cricket videos, and then a decision tree framework is designed for video summarization...
In this paper, we propose the architecture and fast virtual machine allocation mechanism to implement multiscreen engine on the smart node system. The proposed platform can provide clients with lower waiting time service on the non-preemptive multiscreen display tasks through cloud based network environments. In addition, the proposed scheme presents a greedily task allocation scheme on cloud based...
Effect of adaptive threshold on shot boundary detection performance is analyzed in this paper, where the threshold is used to determine whether a target frame is a shot boundary or not in a broadcasting video content. Adaptive threshold is calculated using input threshold and visual similarities of adjacent frames of a target frame. The experimental results show that application of adaptive threshold...
The 4th edition of the International Conference on Multimedia Computing and Systems (ICMCS'16) consolidates its position among IEEE renowned conferences covering topics and issues related with multimedia technologies. These technologies are reshaping modern societies at different levels and through applications as diverse as medicine, education, virtual reality, augmented reality and entertainment.
‘Ecole-Numerique’ or Digital Schooling has become an emerging trend for primary schooling worldwide. This paper attempts to assess the readiness of educators and schools in the migration from “Informatique” to “ÉcoleNumerique” for young learners at primary levels. A case study was drawn from two french private schools X and Y in Mauritius. To achieve this aim, the TAM model was adapted as guideline...
It appears that mobile adaptive learning application are still rarely used in real world learning settings apart from research projects. One possible explanation is that the complex relations between learning content and contextual information are to abstract and therefor difficult to grasp for authors of such applications. This results in a very steep learning curve, especially for non-technology-savvy...
Technologies, when embedded in instruction can provide unique opportunities for interaction. In this paper, to exploring the influence of digital equipment on interaction quality in Technology-rich Classroom, 54 lectures were observed in Hong Kong, Beijing and Shenzhen, and 626 interaction processes were recorded. The main conclusions are the following: (1) Interaction frequency, interaction object...
Information is progressively being perceived as a crucial hierarchical asset that gives upper hand. Overseeing learning resources can be a test, particularly in the development business, where fleeting working contracts and makeshift coalitions of people can repress information sharing. The part of data innovation (IT) in information administration is a fundamental thought for any organization wishing...
In this study, a command recognition method which works responsively to human body motion is developed by using a skeletal tracking system based on Microsoft Kinect sensor in MATLAB environment. Nowadays, image processing techniques that are used by benefiting from Kinect sensor are developing rapidly. The skeletal tracking system algorithm used in this study also works using the depth mapping ability...
We have been developing impression prediction techniques for oral presentations. The contribution of this paper is two folds. First, we introduce soft code assignment for the bag-of-features (BoF) representation to improve the prediction accuracy. Second, we discuss towards online impression prediction aiming at real-time feedback to the speaker. Experimental results using over 1,600 TED presentation...
This paper proposes a method for estimating the attractiveness of food photos in order to assist a user to shoot them attractively. The proposed method extracts both color and shape features from input food images, and then integrates them according to a regression scheme. By this way, the proposed method estimates the attractiveness of an unknown food photo. We also created a food image dataset taken...
Public cultural services are developed rapidly. The growth of the data related to the public cultural services are dramatically. It needs big data technologies for processing the massive public cultural data. This paper proposes a big data analysis platform for facilitating the public cultural services. The platform collects cultural data from public cultural institutions and analyzes the data by...
An effective and widespread approach for shape-based 3D model retrieval (3DMR) is to use a feature vector per 3D model obtained by aggregating, or pooling, a set of local features extracted from the 3D model. State-of-the-art feature aggregation algorithms, such as Fisher Vector (FV) coding [7] or Super Vector (SV) coding [22], used in the approach is not spatially efficient, however. The FV or SV,...
LDA-based topic analysis is widely used in text mining field. Considering the large scale of web documents, document clusters are usually analyzed instead of single ones. However, the existing visualizations of LDA-based clustering do not intuitively present contents of hot topics while maintaining the relationships between the topics and the document clusters. In this paper, we propose an integrated...
An efficient framework of distributed compressive video coding using Enhanced side information for WSN is proposed. At the encoder, the incoming video frames are split into key frames and Wiener-Ziv (WZ) frames depending on Group of Picture (GOP). Based on Distributed Video Coding (DVC) these frames are processed independently and transmitted over WSN. Generally the WZ frames are encoded at a lower...
This research paper proposes a hybrid combination of semi-fragile Singular Value Decomposition (SVD) accompanied by Binocular Notification Difference (BND) for stereoscopic image watermarking pattern. The proposed model originated with two basic segments. At initial stage the logical intrinsic algebraic properties is used to generate content dependent watermarking through Mersenne Twister Algorithm...
The dynamic and regular growth in multimedia domain has prompted researchers to go on studies, that how to manage and classify images properly. Numerous techniques in that direction have been proposed. Some of them classify images based on their low-level feature or Meta data. However, these techniques are short of classifying objects into main-class and sub-class of the images. Usually, the image...
The adoption of games to learn introductory programming concepts has been widely used and there were many evidences of the benefits of learning to code in different levels of education even at primary level. Recent studies acknowledged that the use of games to explore coding environment can be motivating, increases female students' perception in computing programming skill and enhances support for...
In late 2014 collaborative research was undertaken between colleagues in the departments of Computer Science, International Communications, the Centre for English language Education (CELE), and the Language Centre at a global higher education institution (HEI-A), located partly in mainland China. This research aims to explore student note-taking habits, especially in the context of more multimedia-intense...
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