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Many education institutions or organizations have started to incorporate information technology into their learning modules to facilitate and motivate their students in learning better during their studies. Among the most recently developed using information technology platform is Massive Open Online Course (MOOC), a free online learning platform. However, due to its self learning feature, many MOOCs...
Augmented Reality (AR) is a live, direct or indirect projection of the physical-real world which allows users to experience the surrounding environment as it is, in real-time, enhanced with digital and/or interactive content. It seems that AR can be exploited for teaching various disciplines. In this paper, the preliminary results of a study regarding a teaching intervention about science education...
The increasing exploitation of the planet's resources has important consequences on the environment. The ecological disasters, that always more often occur, remind to human how important is to foster ecological skills since childhood. In Educational Technology field, there are several of experimental evidences that prove the effectiveness of multimedia technologies in learning processes. In this context,...
This paper presents an advanced Security QoS provisioning module with vertical multi-homing and multi-streaming framework for 5G mobile terminals with radio network aggregation capability in next generation mobile and wireless broadband networks. The proposed mobile terminal framework is leading to high performance opportunities for multimedia services with high level of QoS provisioning and secure...
Learning Management System (LMS) is one of the online learning tool that used by one of private university in Indonesia. The private university began venturing into online learning, which more flexible for users, especially teachers and students. Online learning was implemented to build mutual knowledge, motivation, and communication for the sake of creating a collaborative and efficient learning...
Network "softwarization" is gaining increasing popularity to achieve dynamicity and flexibility. Cloud computing, together with the new paradigms of SDN and NFV are supporting this evolution. However, the need to move services closer to users to guarantee low latency in the service fruition on one hand, and the trend to support personalization of services on the other hand, are stimulating...
Teaching of human anatomy at Faculty of Medicine of Pavol Jozef Šafárik University in Košice, Slovakia is based on combination of lectures and practical lessons. Modernization of curricula changed traditional teaching methods and brought new technologies into the education process during past decade. Because of positive improvements including visualization of individual anatomical structures, these...
DNN-based cross-modal retrieval has become a research hotspot, by which users can search results across various modalities like image and text. However, existing methods mainly focus on the pairwise correlation and reconstruction error of labeled data. They ignore the semantically similar and dissimilar constraints between different modalities, and cannot take advantage of unlabeled data. This paper...
Reflection removal aims at separating the mixture of the desired background scenes and the undesired reflections, when the photos are taken through the glass. It has both aesthetic and practical applications which can largely improve the performance of many multimedia tasks. Existing reflection removal approaches heavily rely on scene priors such as separable sparse gradients brought by different...
With the rapid development of Internet, we have entered an era of information explosion, there is a lot of redundant information in the Network. How to extract a useful part of this information from the massive information resources, analyzing the vast amount of information and finally get the potential knowledge we want to extract. Web mining technology came into being, and saved out the human from...
The users' requests for online objects in mobile networks are characterized by fast varying dynamics caused by user mobility and diversity of users who produce contents. Conventional popularity methods cannot efficiently handle such strong dynamic requests of users, because they pay little attention to the time-varying user behavior which contributes to the growth and fading of online media files...
This paper deals with the dependence of Constant Rate Factor (CRF) on the bitrate for most commercial used compression standards H.264 and H.265. The measurements were done for eight different video sequences with high resolutions (HD, Full HD, Ultra HD) depending on content. The results indicated biggest differences in the coding efficiency in CRF range from 10 to 20 and from 40 to 51 by both mentioned...
Multi-view correlation learning has attracted great attention with the proliferation of heterogeneous data. Typical methods, such as Canonical Correlation Analysis (CCA) and its variants, usually maximize one-to-one corresponding correlation of inter-view data, while most of them neglect discriminative multi-label information and local structure of each view data. In this paper, we propose multi-label...
Pedestrian detection, as an important task in video surveillance and forensics applications, has been widely studied. However, its performance is unsatisfactory especially in the low resolution conditions. In realistic scenarios, the size of pedestrians in the images is often small, and detection can be challenging. To solve this problem, this paper proposes a novel resolution-score discriminative...
Musical instrument playing is a skill many people desire to acquire, and learners now have a wide variety of learning materials. However, their volume is enormous, and novice learners may easily get lost in which songs they should practice first. We develop Strummer: an interactive multimedial system for guitar practice. Strummer provide data-driven and personalized practice for learners in order...
This paper presents a Cross-Modal Online Low-Rank Similarity function learning method (CMOLRS) for cross-modal retrieval, which learns a low-rank bilinear similarity measure on data from different modalities. CMOLRS models the cross-modal relations by relative similarities on a set of training data triplets and formulates the relative relations as convex hinge loss functions. By adapting the margin...
Recently, there has been increasing interest for easy and reliable generation of 3D animated models facilitating several real-time applications. In most of these applications, the reconstruction of soft body animations is based on time-varying point clouds which are irregularly sampled and highly incomplete. To overcome these imperfections, we introduce a novel reconstruction technique, using graph-based...
Color-guided depth map up-sampling, such as Markov-Random-Field-based (MRF-based) methods, is a popular depth map enhancement solution, which normally assumes edge consistency between color image and corresponding depth map. It calculates the coefficients of smoothness term in MRF according to such assumption. However, such consistency is not always true which leads to texture-copying artifacts and...
This paper presents a novel intra prediction method for inter pictures (i.e. P pictures and B pictures), denominated enhanced intra prediction (EIP). The traditional intra prediction only uses the reconstructed pixels to the left and above to derive intra prediction blocks. While the proposed method combines the left-above and right-below pixels to strengthen the prediction efficiency of the intra...
Unsupervised feature selection has shown significant potential in distance-based clustering tasks. This paper proposes a novel triplet induced method. Firstly, a triplet-based loss function is introduced to enforce the selected feature groups to preserve ordinal locality of original data, which contributes to distance-based clustering tasks. Secondly, we simplify the orthogonal basis clustering by...
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