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Querying streaming data is becoming a dominant problem in big data analytics. A practical approach to querying streaming data is through traditional databases that have been modified to support streams, such as MySQL. However, conditional selection for querying data streams is currently an open challenge. We present a new visual framework that provides a more intuitive querying interaction for streaming...
The Cloud is increasingly being used to store and process big data, and conventional security mechanisms using encryption are either not sufficiently efficient or not suited to the task of protecting big data in the Cloud. In this paper we present an alternative approach which divides big data among multiple Cloud providers, and instead of protecting the data itself, protects the mapping of the various...
In this paper, we describe a framework for the extraction of low-level and high level information from movies in order to be used for cinemetric applications. The developed framework analyses the available video content and extracts characteristics related to color, motion, contrast, shot length, tempo, face to frame ratios etc. The extracted information is stored in MPEG 7 AVDP profile format, which...
Lighting is a key element in photography. Professional photographers often work with complex lighting setups to directly capture an image close to the targeted one. Some photographers reversed this traditional workflow. Indeed, they capture the scene under several lighting conditions, then combine the captured images to get the expected one. Acquiring such a set of images is a tedious task and combining...
With the aim of improving the efficiency and perceptual quality in video coding, this paper proposes a novel just-noticeable coding distortion (JNCD) model that considers human visual perception redundancy and unreasonable factors of existing just-noticeable distortion (JND) models in the coding process. First, we design a psycho-physical experiment to analyze the just-noticeable gradient difference...
Holoscopic 3D imaging (also known as Integral imaging) is a promising technique for capturing full colour spatial images using a single aperture holoscopic 3D camera. It mimics fly's eye technique with a microlens array, which will view the scene at a slightly different angle to its adjacent lens that records three-dimensional information onto two-dimensional surface. To date, holoscopic 3D camera...
The sampled filter array sensor is widely used in image capturing devices. For example, the color filter array image sensor is used in digital still cameras, mobile phones, etc. Traditionally, sampled RGB images are first interpolated to produce full-resolution RGB images and then converted to the Yuv format. These Yuv images or videos are encoded. In this paper, we propose a directing encoding method,...
We perform clustering over the Product Reactions Cards in order to group the terms in 8 groups and 41 subgroups. A card sorting exercise among software engineers and UX practitioners was performed in order to achieve this. We present a preliminary case study using this classification with a retailing application in order to see the difference in connotations that result introducing stereoscopic depth...
Holoscopic 3D imaging (also known as Integral imaging) is a true light field imaging system that mimics fly's eye technique for capturing full colour spatial images using a single aperture holoscopic 3D camera. The fly's eye microlens array view the scene at a slightly different angle to its adjacent lens that records three-dimensional information onto two-dimensional surface. As a result, the display...
User engagement modeling for manipulating actions in vision-based interfaces is one of the most important case studies of user mental state detection. In a Virtual Reality environment that employs camera sensors to recognize human activities, we have to know were user intend to perform an action and when he/she is disengaged. Without a proper algorithm for recognizing engagement status, any kind of...
The increasing use of interactive technologies, digital media, and dynamic content in smart spaces such as libraries and museums is improving the user experience substantially. In well-designed learning spaces, digital content can itself become a service, possibly with creative and social output to interact with users. In this paper we study the quantitative modeling of the Quality of Experience (QoE)...
The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet Inspection (DPI). However, Google and certain content providers have started to encrypt their video services. As a result, operators often encounter difficulties in shaping their encrypted video traffic...
HTTP Adaptive Streaming (HAS) has become a popular trend for multimedia delivery nowadays. Because of throughput variations, video adaptation methods are needed to avoid buffer underflows. In this context, it is also important to evaluate the overall video quality of a session. In this paper, we investigate a quality model that can evaluate a session quality as well as different adaptation strategies...
Photo Response Non-Uniformity (PRNU) noise can be considered as a spread-spectrum watermark embedded in every image taken by the source imaging device. It has been effectively used for localizing the forgeries in digital images. The noise residual extracted from the image in question is compared with the reference PRNU in a sliding-window based manner. If their normalized cross correlation, which...
Personal cloud services are emerging as a disruptive technology for tools and services that use digital media assets. As the shift to a bring-your-own-device and app workplace becomes commonplace, the opportunity exists to leverage these personal services to create enterprise scale approaches. However, a key limiting feature is the ability to provide private and secure assets, whether they are photos,...
The study reported in this paper demonstrated, for the first time, that the peak-end effect, commonly found with respect to memories of experience, also applies to overall Quality of Experience (QoE) measures obtained after participants view a sequence of videos. Sequences of videos shown in an experiment varied according to the sequencing and grouping of videos with better or worse Technical Quality...
In this paper, we describe an Over-The-Top (OTT) video Quality of Experience (QoE) subjective evaluation experiment that was carried out to examine variations in the way subjects assess viewing experiences. The experiment focuses on different level of impairment and failure types, using 5-point measurement scales. Clustering is used to differentiate between unreliable and reliable participants, where...
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