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Reading is one of the main paths to acquire knowledge, either done traditionally on paper media or practiced on electronic devices. Efficiency varies when different reading patterns are involved. It is the objective of this research to classify reading patterns from fixation data using machine learning techniques in an attempt to understand and evaluate the reading and learning process. In our experiment,...
We propose a real-time human activity analysis system, where a user's activity can be quantitatively evaluated with respect to a ground truth recording. We use two Kinects to solve the problem of self-occlusion through extracting optimal joint positions using Singular Value Decomposition (SVD) and Sequential Quadratic Programming (SQP). Incremental Dynamic Time Warping (IDTW) is used to compare the...
MAESTRO is a project of the European Ambient Assisted Living Programme which aims at enhancing the quality of life and whenever possible the autonomy of seniors. The project objective is to develop a web-based ICT platform that will enable any user, either customer, producer or prescribing party of self monitoring devices, the possibility to evaluate their relevance, effectiveness and performance...
The increasing demand of global video traffic presents a grand challenge for Internet service providers. This is particularly important for Smart Cities, where the citizens will be surrounded by various multimedia services. The Information Centric Networking (ICN) paradigm has been proposed to handle the vast amount of data, mobility of users, and provide better scalability and efficiency in terms...
This paper presents a method that embeds stability-sensitive filter in the temporal matching kernel with explicit feature maps (TE). The added filter improves the robustness of TE to noise for content-based video retrieval. Originally TE embeds temporal information of frame descriptors by using explicit feature mapping in a fixed length video vector by using a temporal invariant match kernel. TE matches...
The recent advance in deep learning technologies has provided many opportunities to the industries in developing smarter products, such as smart toys, smart cars and smart homes. Unfortunately, a common practical issue to these deep learning methods is the high requirements in computing power even for the prediction part. As the deep learning models' complexities increase, the memory requirements...
Brain-computer interface (BCI) has been used as a communication tool to enable paralyzed people to interact with the world. Its application has been extended to other non-medical areas like self-regulation, marketing, games and entertainment. Conventionally, BCI largely relies on the visual perception channel to provide users with cues or stimuli for the generation of appropriate brain signals that...
In this paper, we propose readability enhancement of low light videos based on discrete wavelet transform (DWT). Captured videos under the low light condition have a narrow dynamic range (low contrast) with a dark tone as well as are highly corrupted by noise. We achieve both contrast enhancement and noise reduction in low light videos using wavelet coefficients. First, we perform normalization to...
This paper presents a performance comparison of several state-of-the-art visual feature extraction algorithms when applied in a poorly-structured environment as found on the planet Mars. So far, no systematic evaluation of feature extraction algorithms in extraterrestrial environments is available. The algorithms in this paper are evaluated using the Devon Island dataset which is said to have one...
Abrasive holograms allow people to experiment with impressive quasi-holography and create hologram artwork through simple means of creating reflective scratches on sheets of plastic. Most of the reported accounts of abrasive holography address the creation of three-dimensional illustrations. This work explores abrasive holograms for creating arbitrary holographic animations through scratch patterns...
Dynamic adaptive streaming over HTTP (DASH) requires a video server to transcode each original video object to all the possible bit-rate versions, resulting in high CPU power consumption. To address this, we propose a new scheme that balances quality-of-experience (QoE) against transcoding energy. We start by introducing the concept of transcoding gain to express QoE achieved as a result of transcoding...
Short range ad-hoc wireless networks can be used to deliver streaming multimedia for information, entertainment and advertisement purposes. To enable short-range communication between various devices, the Wi-Fi Alliance proposed an extension to the IEEE802.11 Wi-Fi standard called Wi-Fi Peer-to-Peer (P2P). It allows compliant devices to form ad-hoc communication groups without interrupting conventional...
In this paper, we address interesting questions about how feng shui influences house price from a data perspective. First, is feng shui likely to influence house price? Second, how do different feng shui features, e.g., house shape, master bedroom location, and other interior room arrangements, influence the price? Third, can we automatically diagnose the feng shui problems of a house? From a dataset...
Residential gateways play a key role in providing internet access to home consumers. Nowadays, users in the same home with heterogeneous applications share a common gateway. As such, the gateway becomes the bandwidth bottleneck, leading to impairments and negatively affecting users' Quality of Experience (QoE). In the case of delay sensitive applications like video streaming and online gaming, this...
Widely-used Rate Control (RC) algorithms, such as those in the H.264 encoder, have certain shortcomings for time-sensitive applications such as High Definition Video Conferencing (HDVC): they either respond too slowly to available bandwidth variations, causing degradation in the perceived quality of the video session, or do not optimize video quality for a given available bandwidth. To overcome these...
In this paper, we propose boundary-preserving depth upsampling without texture copying artifacts and holes. Since high-resolution (HR) color images contain many edges and textures, they inevitably cause artifacts such as texture copying when they are used in depth upsampling. Thus, we perform rolling guidance filtering on HR color images before depth upsampling to preserve object boundaries in depth...
Image search engines commonly employ the Bag Of Features (BOF) method to represent each database image with a feature vector and retrieve the best candidate using a measure of similarity to a query image vector. The BOF vector, which specifies the occurrence frequency of features, is used with Soft Assignment (SA) to find the most similar candidates which are further analyzed using geometric information...
With the growth of crowd phenomena in the real world, crowd scene understanding is becoming an important task in anomaly detection and public security. Visual ambiguities and occlusions, high density, low mobility and scene semantics, however, make this problem a great challenge. In this paper, we propose an end-to-end deep architecture, Convolutional DLSTM (ConvDLSTM), for crowd scene understanding...
Artificial Neural Networks are a widely used computing system implemented for a wide variety of tasks and problems. A common application of such networks is classification problems. However, a significant amount of this research focuses on one and two-dimensional information, such as vectorized data and images. There is limited research performed on three-dimensional media such as video clips. This...
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