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When regarding physicians' tremendously packed timetables, it comes as no surprise that they start managing even critical situations hastily in order to cope with the high demands laid out for them. Apart from treating patients' conditions they as well are required to perform time-consuming administrative tasks, including post-surgery video analyses. Concerning documentation of minimally invasive...
ConCIENCIA Estadística is a digital educational material proposed as support for the development of the homonymous workshop, organized in the framework of the Project for Improvement of Training in Exact and Natural Sciences in the Secondary School (Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa). This material is described in this paper, offering technical details of its...
Multitrack audio mixing is an essential part of music production and one of the first steps consist on processing individual stems from raw recordings. In this paper, we investigate this stage as a content-based transformation. We explore which audio features are relevant to interpret this specific process and which set of features gets modified by the mixing of stems in the most consistent way. We...
The need for the reduction of energy consumption and size of microelectronic circuits is increasingly in demand. To support this request, this paper presents a comparison study on two integrated technologies: FDSOI 28nm and CMOS 350nm. The aim of this work was to compare the performance of these two technologies for the design of a rectifier and a Dickson charge pump for rectenna application. The...
As an important communication medium, audios are easily modified or tampered during transmission; thus the authenticity of audios is of high importance. This paper mainly introduces a method to detect audio post-processing based on audio features; the Support Vector Machine (SVM) is applied for classification during the detection. In the proposed method, the Mel Frequency Cepstral Coefficient (MFCC)...
Online learning, whether guided or independent, is of great important in a world of constant change. Open Educational Resources, which are offered to the public at no cost, allow life-long learning for all audiences. However, resources of high quality are not always easily discoverable. MERLOT (Multimedia Educational Resource for Learning and Online Teaching) is a meta-data repository of open educational...
Rate-constrained motion estimation (RCME) is considered to be the most time-consuming process of H.265/HEVC encoding. Massively parallel architectures, such as graphics processing units (GPUs), used in combination with a multi-core central processing unit (CPU), provide a promising computing platform to achieve fast encoding. However, the inherent dependencies in the process for deriving motion vector...
Action recognition in still images is a challenging task in computer vision. Recent successes in deep feature-learning advance this research, employing robust and rich-semantic feature representation. However, the issue that recognition fails when two action images share similar contexts is long-standing. In this paper, we employ metric learning method to address within-class and between-class confusions...
The constrained local model (CLM) proposes a paradigm that the locations of a set of local landmark detectors are constrained to lie in a subspace, spanned by a shape point distribution model (PDM). Fitting the model to an object involves two steps. A response map, which represents the likelihood of locations for a landmark, is first computed for each landmark using local-texture detectors. Then,...
Deep learning is a popular method for monaural source separation, and especially for extracting a singing voice from a single-channel song. However, deep learning-based source separation ignores the geometrical structure of the input data. This work develops a novel approach to source separation that is based on non-negative matrix factorization (NMF) and deep recurrent neural networks (DRNN) with...
The popularity of multi-view panoramic videos has been considerably increased for producing Virtual Reality (VR) content, due to its immersive visual experience. We argue in this paper that PSNR is less effective in assessing visual quality of compressed panoramic videos than Sphere-based PSNR (S-PNSR), in which sphere-to-plain mapping of panoramic videos is considered. Thus, the conventional rate...
in idea is to express a ballot to allow voting for up to out the candidates and unlimited participants. The purpose of vote is to select more than one winner among candidates. Our result is complementary to the result by Sun peiyong ¡äs scheme, in the sense, their scheme is not amenable for large-scale electronic voting due to flaw of ballot structure. In our scheme the vote is split and hidden, and...
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...
Face detection is very important for video surveillance, human-computer interaction, and face recognition. In this paper, a very robust face detection algorithm that can well detect rotated, in-plane, and out-of-plane faces without large amount of training data is proposed. First, several techniques, including the entropy rate superpixel (ERS) and the skin filter, are applied to obtain face candidate...
Visual attention models (VAMs) have proved useful in various multimedia applications such as video encoding, interface design, and user behavior prediction. However, existing VAMs are not generalizable enough to be utilized in all multimedia applications implying that in each application there exist some unique factors which drive the user attention. Application agnostic VAMs rely on video and image...
With the tremendous volume explosion of big data video contents in future wireless networks, ensuring Quality of Experience (QoE) of the End User (EU) by leveraging communication context becomes an important issue. In this paper, we propose a context-aware wireless multimedia relay solution to incentivize user devices participating in wireless relay services. In this proposed approach, QoE and price...
Recently the quick development of virtual technology has made technology-aided learning more versified and education revolution more advanced. With visual and audio stimulation, technology-aided teaching can make student pay more attention than traditional way. Currently the way of learning idioms in elementary school is of more traditional way, which, without multiple interactions with students,...
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