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UDesignIt: Towards social media for community-driven design 12

UDesignIt: Towards social media for community-driven design

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International conference on Software Engineering (ICSE)

作者： Phil Greenwood Awais Rashid James Walkerdine School of Computing and Communications Lancaster University Lancaster UK

ISBN: (纸本)9781467310673

Online social networks are now common place in day-to-day lives. They are also increasingly used to drive social action initiatives, either led by government or communities themselves (e.g., SeeClickFix, ***, mumsnet). However, such initiatives are mainly used for crowd sourcing community views or coordinating activities. With the changing global economic and political landscape, there is an ever pressing need to engage citizens on a large-scale, not only in consultations about systems that affect them, but also involve them directly in the design of these very systems. In this paper we present the UDesignIt platform that combines social media technologies with software engineering concepts to empower communities to discuss and extract high-level design features. It combines natural language processing, feature modelling and visual overlays in the form of “image clouds” to enable communities and software engineers alike to unlock the knowledge contained in the unstructured and unfiltered content of social media where people discuss social problems and their solutions. By automatically extracting key themes and presenting them in a structured and organised manner in near real-time, the approach drives a shift towards large-scale engagement of community stakeholders for system design.

关键词： Communities Social network services Feature extraction Media Semantics Natural language processing visualization

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A computational model of neural contour processing: Figure-ground segregation and illusory contours

A computational model of neural contour processing: Figure-g...

引用

International conference on Computer Vision (ICCV)

作者： F. Heitger R. von der Heydt Communication Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Neurology University Hospital Zurich Zurich Switzerland

The detection of occluding contours in images of 3-D scenes is a fundamental problem of vision. The authors present a computational model of contour processing that was suggested by neurophysiological recordings from the monkey visual cortex. The model uses convolutions and nonlinear operations, but no feedback loops. Contours are defined by the local maxima of the responses of a contour operator that sums a representation of contrast borders and a grouping signal. The grouping consists of convolving a representation of key-points, such as T-junctions, corners, and line ends, with a set of orientation selective kernels, and a nonlinear pairing operation. The grouping scheme is selective based on whether the configuration of key-points is consistent with the interpretation of occlusion. The resulting contour representation includes an indicator of figure-ground direction. It is shown that the model reproduces illusory contours in accurate agreement with perception and generates representations of occluding contours on images of natural scenes that are more complete and less cluttered by spurious connections of foreground and background than those obtained by conventional edge detection operators.< >

关键词： Computational modeling Layout Brain modeling Feedback loop image edge detection communications technology Laboratories Nervous system Hospitals Kernel

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OPSSA: A Media-Aware Scheduling Algorithm for Scalable Video Streaming over Simultaneous Paths in NEMO-Based Mobile Networks

OPSSA: A Media-Aware Scheduling Algorithm for Scalable Video...

引用

IEEE conference on Vehicular Technology (VTC)

作者： James Nightingale Qi Wang Christos Grecos Audio Visual Communications & Networks Group School of Computing University of the West of Scotland Paisley UK

There has been a significant amount of recent research in the computer networking community on the emerging wireless networking paradigm known as Mobile Networks; while the real-time image processing community have expended much effort on the development of scalable video encoding techniques and investigating the multipath streaming of real-time multimedia content. This work draws together the key elements of recent research in each of these areas and proposes a novel scheme for the multipath delivery of scalable video streams to users within multihomed mobile networks. We provide a hardware-based, multihomed mobile networks testbed and propose OPSSA, an optimised path selection and scheduling algorithm for use in multihomed mobile networks. Experimental results show our algorithm to outperform the representative algorithms when measured using the Peak Signal to Noise Ratio (PSNR) metric.

关键词： Switches Mobile communication Mobile computing Streaming media Delay Static VAr compensators Bandwidth

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ASIC design of a progressive vector quantizer

ASIC design of a progressive vector quantizer

引用

MILCOM, Military communications conference

作者： G.A. Rasche K.S. Thyagarajan K. Bakhru Cubic Defense Systems San Diego State University USA

The authors describe the architecture of a real-time progressive full-search vector quantizer (VQ) suitable for VLSI implementation. Because of the large memory and ALU requirements of a single VQ, the compression is performed in stages. Each stage generates a codebook index, a difference vector, and total pixel error squared. The encoder chip is partitioned into master/slave portions dividing the codebooks and computational requirements between the two ASICs (application-specific integrated circuits). Because the system is modular, several encoder stages can be cascaded to achieve a higher-quality reconstruction. The VQ is progressive in the sense that each additional stage of encoding produces better visual quality. The authors also describe the architecture of a completion chip which can be used in conjunction with several encoders to realize a single VQ.< >

关键词： Application specific integrated circuits Video compression Decoding image reconstruction Data compression Computer architecture Bandwidth Compression algorithms Digital signal processing Real time systems

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Multi-kernel Co-SVM with a new strategy using unlabeled data for image retrieval

Multi-kernel Co-SVM with a new strategy using unlabeled data...

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International conference on Pervasive Computing and Applications (ICPCA)

作者： Li Zongmin Liu Yang Li Hua School of Computer and Communications Engineering China University of Petroleum Shandong China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457702099

Relevance feedback based on SVM classifier shows a good performance recently but the finite feedback counts limited by user's patience and the small sample size problem are not solved well, Co-SVM does a good job in solving these problems but still has some flaws. We propose three strategies to try to improve this algorithm: (1) different kernel functions are used to characterize the color and texture visual similarities; (2) a new method is proposed to caculate the confident scores of the contention samples; (3) a bunch of the most irrelevant images with the highest confident score are added into the labeled images to extend the size of labeled data while choosing a bunch of images for user labeling. Experimental results verify the superiority of our method over Co-SVM.

关键词： Support vector machines Multimedia communication Classification algorithms

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Cognitive Load Reduction on Multimedia E-Learning Materials

Cognitive Load Reduction on Multimedia E-Learning Materials

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International conference on Advanced Learning Technologies (ICALT)

作者： Masahiro Ando Maomi Ueno Graduate School of Information Systems University of Electro-Communications Japan

ISBN: (纸本)9780769531670

In e-learning area, the content development method is one of the most important research topics. This paper proposes a presentation method of visual contents (a text, a still image) in synchronization with narration (sound content) and a pointer to make the efficiency of the resource allocation of cognitive memory capacity increase, and make the transmitted amount of information maximize, based on a human's cognitive-information-processing model "dual channel model." Under various contents presentation environment {(1)narration, (2) text (with narration / without narration), (3) still images, (4) still images + text (with narration / without narration), (5) video, and (6) video + text} in e-learning, we performed some control experiments (measure the point of fixation for e-learning students by an eye mark recorder, memorization and a contents understanding test and the questionnaire) with or without pointer. The results showed the validity of this model and the effectiveness of the proposed content development method in e-learning.

关键词： Electronic learning Cognitive science Resource management Performance evaluation Humans Multimedia systems Information systems Psychology Materials testing Auditory system

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Boundary Matting for View Synthesis

Boundary Matting for View Synthesis

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IEEE Computer Society conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： S.W. Hasinoff Sing Bing Kang R. Szeliski Department of Computer Science University of Toronto Toronto Canada Interactive Visual Media Group Microsoft Research Limited Redmond WA USA

In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and a unique depth is typically assigned to every pixel. This is problematic at object boundaries, where the pixel colors are mixtures of foreground and background colors. Interpolating views without explicitly accounting for this effect results in objects with a "cut-out" appearance. To produce seamless view interpolation, we propose a method called boundary matting, which represents each occlusion boundary as a 3D curve. We show how this method exploits multiple views to perform fully automatic alpha matting and to simultaneously refine stereo depths at the boundaries. The key to our approach is the unifying 3D representation of occlusion boundaries estimated to sub-pixel accuracy. Starting from an initial estimate derived from stereo, we optimize the curve parameters and the foreground colors near the boundaries. Our objective function maximizes consistency with the input images, favors boundaries aligned with strong edges, and damps large perturbations of the curves. Experimental results suggest that this method enables high-quality view synthesis with reduced matting artifacts.

关键词： Stereo vision Layout Interpolation Computer vision Computer science Application software Stereo image processing image reconstruction Sampling methods Sprites (computer)

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Self Supervised Learning for Classifying the Rotated images 14th

Self Supervised Learning for Classifying the Rotated Image...

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12th International Advanced Computing conference, IACC 2022

作者： Roy, Sidharth Marathe, Aboli Walambe, Rahee Kotecha, Ketan Maharashtra Pune412 115 India Maharashtra Pune412 115 India Maharashtra Paud412 108 India Machine Learning Department Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)9783031356438

As the applications of image classification models have grown, there has emerged a need to develop classifier models which are invariant to the orientation of the image. Traditionally, image augmentation is applied during training of classification models to encourage the quality of rotation invariance. In our work, we propose an alternate method of classifying rotated images in which the 2d rotation transformation applied to an image is identified and reverted before being passed to an image classifier, thus increasing classification accuracy. The rotation correction is achieved by feeding the input images through a Rotnet, a deep convolutional model which has been trained to identify the orientation of images, and rotating the images back to the original orientation. We find that our method achieves an increase in image classification accuracy over the baseline model on the CIFAR10 dataset. Specifically, when images are rotated and passed to an image classifier with an accuracy of 94% on the CIFAR10 classification task, the accuracy drops to 59.1%. However when the randomly rotated input images were corrected for rotation using our method before being fed to the classifier, the accuracy increases to 75.8%. © 2023, Springer Nature Switzerland AG.

关键词： image classification

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DSP hardware implementation of transform-based compression algorithm for AUV telemetry

DSP hardware implementation of transform-based compression a...

引用

OCEANS

作者： D.M. Kocak F.M. Caimi Department of Electrical and Software Engineering Harbor Branch Oceanographic Institution Inc. Fort Pierce FL USA

Operation of AUVs or other platforms that rely upon robust communications for navigation and mission critical tasks is facilitated by the use of on-board data compression. Data compression eliminates redundancy of transmitted information and therefore improves the efficiency of the entire mission. In some applications, acoustic and non-acoustic sensor information is acquired and processed to produce a visual representation for ease of human-in-the-loop analysis and interpretation. Many image and data compression methods are currently in development. Emphasis has been placed on achieving high efficiency as characterized by compression ratio while retaining the least error between the original image and the compressed image. Although some algorithms produce excellent results, computational complexity, and hence speed of compression or decompression, can become a limiting factor in real-time use depending upon the capability of the on-board processor. This paper describes the implementation of a high performance image compression transform using a dedicated DSP processor and supporting computer host. The system architecture and strategy for efficient code implementation are described. Example performance measures are presented for non-acoustic undersea studies. Future plans and developments for specialized applications are also discussed.

关键词： Digital signal processing Hardware image coding Data compression Robustness Navigation Mission critical systems Redundancy Acoustic applications Sensor phenomena and characterization

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Eye Movement Analysis using Virtual Reality in Early Detection of Alzheimer’s Disease

Eye Movement Analysis using Virtual Reality in Early Detecti...

引用

image processing, Computer Vision and Machine Learning (ICICML), International conference on

作者： Haiwei Zuo King Hann Lim Eswaran Sivaraman Jonathan Then Sien Phang Shenzhen City Polytechnic School of Information and Communications Technology Curtin Malaysia Research Institute Curtin University Malaysia

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

Early detection of Alzheimer’s disease (AD) is important at the initial stage to provide prior treatment and control. In traditional diagnostic methods, medical doctors perform manual AD checking by asking patients to repeat several round of text reading and game exercises. The quantification of this manual assessment can be subjective due to the profession experience and it requires a further verification using the brain imaging. In this paper, an automated digital AD assessment method using Virtual Reality (VR) console is proposed to evaluate patient’s condition by tracking their eye movement during text reading. First, the eye movement pattern is captured using VR console during text reading. The recorded eye movement is then converted into frequency domain to study its frequency components during reading process. The simulation of AD symptom is set up by prompting subjects to read their familiar native language and unfamiliar language. As a result, the experiment shows that there are significant differences in eye movement patterns between native and unfamiliar language reading. The group of subjects reading unfamiliar language have random eye movement in less efficient visual processing. This pattern is similar to the patients who suffer in the AD symptom. In addition, the frequency features are extracted to study its correlations with reading comprehension performance in order to detect the early AD condition.

关键词： visualization Correlation Tracking Frequency-domain analysis Virtual reality Manuals Frequency conversion Feature extraction Alzheimer's disease Medical diagnostic imaging

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