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According to the digital revolution and the dramatically increasing number of TV channels on different satellites thus a massive content being broadcasted, a copyright and intellectual property infringement problem is occurring due to piracy and misuse of content, especially in developing countries. The abuse of content is leading to a significant money loss to content owners that may cause the collapse...
No-reference objective stereo video quality assessment plays an important role in stereo video content production, especially to the sense of 2D-to-3D video conversion. The main problem needed to consider when designing an objective quality assessment model is to make the assessment result close to human perception. In this paper, a no-reference objective stereo video quality assessment method is...
The latest video coding standard, High Efficiency Video Coding (HEVC), has a large amount of complexity in its inter coding. To reduce the complexity of the inter coding for HEVC, an adaptive searching range algorithm is proposed in this paper. The proposed method separates inter coding into a learning stage and predicting stage. In the learning stage, the relationship between the prediction units...
Extraction of information from an image acquired by real imaging systems is a difficult task, since the observed image may be degraded by blurring. In this paper, a framework for classification of blur in an image is presented and a technique for classification of blur using invariants is proposed. In this method, the blur classification is carried out without estimating the blurring function. The...
The article presents solutions of two ESF projects carried out at the University of Žilina and the implementation of their conclusions addressed to new approaches in engineering education. The goal of first project was the innovation of education through implementation of information and communication technologies (ICT) in the development of multimedia educational resources. The project result is...
Event detection using webcast text is an important function for providing event based video segmenting services of sport videos. In this paper, an approach of webcast event clustering for sport video event annotation is proposed. In our approach, one of unsupervised learning algorithms, called pLSA (probabilistic latent semantic analysis), is used to classify event types. To decide an appropriate...
Underage drinking or adolescent alcohol use is a major public health problem that causes more than 4,300 annual deaths. Traditional methods for monitoring adolescent alcohol consumption are based on surveys, which have many limitations and are difficult to scale. The main limitations include 1) respondents may not provide accurate, honest answers, 2) surveys with closed-ended questions may have a...
In this talk we seek to provide insight on the general topic of visual soft biometrics (gender, age, ethnicity, etc.). First, we present a new refined definition of soft biometrics, emphasizing on the aspect of human compliance, and then proceed to identify candidate traits that accept this novel definition. Second, we introduce some image processing techniques related to the estimation of some traits...
This study discusses the issues and future trends of teaching physical education subject. The data is elicited from an interview conducted with four expert teachers. Four issues were identified after conducting an analysis of the interview transcript. The issues are time, teaching method, perception toward physical education and future trends in teaching and learning physical education. Physical education...
Recent years, data transfer via www is one of the most popular application and web traffic on the Internet consumes much network resources. We have proposed a peer-to-peer cache distribution system to reduce consumption of network resources so far. Systems based on our proposal enable peers to receive a part of the data while the peers are downloading data from a server. In this paper, we report further...
TLD is used to fulfill single and cross camera tracking in high resolution video. We adopt down-sample method in high resolution video and propose a mechanism of shared online classifier, which is possessed and updated by all cameras simultaneously and online. Experiment results show that, compared to original TLD algorithm, down-sample method can help reduce false detection rate and improve the track...
Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our collaboration has been an on-going task of studying the relational patterns between data points based on met features extracted from metaknowledge...
The big data collection and analysis of public digital culture sharing service is researched in this paper. Big data includes three types of data, namely: ancillary service data, public digital culture sharing service platform operation data and user data. The aim is to build a data analysis platform for the three classes of data. Through the analysis of the three types of data collected, the use...
This paper proposes a general multichannel system reproduction method. Firstly, relative to original multichannel system, a general global model is build up by guaranteeing sound pressure and the direction of particle velocity at the receiving point constant, and making the square error of particle velocity magnitude at the receiving point as little as possible. Then the model is equivalent to a least...
In recent years, the dramatic development of cloud computing, referring to as the applications and services implemented over Internet, has been witnessed and draws many attentions from both academia and industry. Objective image quality assessment (IQA) is fundamental to a broad range of applications throughout the fields of image processing and computer vision. There is a huge desire in exploiting...
Surveillance video is increasingly becoming the "biggest big data". This presents an unprecedented challenge for analyzing and mining the meaningful information (e.g., Rare actions or events) in such a huge amount of videos. Recent studies have shown that feature-trajectories-based methods are effective to encode motion information in video, consequently demonstrating superior performance...
Sentiment analysis is important for understanding the social media contents and user opinions. Along with the development of social media applications, an increasing number of people combine texts and images to express their opinions. However, text based sentiment analysis methods cannot process other medias except texts. Therefore, visual sentiment analysis is born at the right moment. In this article,...
Network congestion has serious negative impact on the utilization and efficiency of the network resources and can result in network collapse. Minimizing congestion occurrence in a network would optimize the network performance and satisfy end users requirements. As high-speed networks are designed to offer widespread services, including real time multimedia, an efficient congestion avoidance scheme...
In recent years, proliferation of digital multimedia including images, audio, video and documents become popular due to on line distribution of digital multimedia. In such an open environment, it is convenient to get the access to various information sources. This increases the possibility of large-scale unauthorized copying of digital data. These concerns over protecting copyright have triggered...
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