2015 IEEE International Symposium on Multimedia (ISM)

14-16 Dec. 2015

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Displaying Results 1 - 25 of 134
  • [Front cover]

    Publication Year: 2015, Page(s): C4
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  • [Title page i]

    Publication Year: 2015, Page(s): i
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  • [Title page iii]

    Publication Year: 2015, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2015, Page(s): iv
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  • Table of contents

    Publication Year: 2015, Page(s):v - xiv
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  • Message from General Co-chairs' Foreword

    Publication Year: 2015, Page(s):xv - xvi
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  • Message from Program Committee Chairs

    Publication Year: 2015, Page(s): xvii
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  • Message from Workshop Chairs

    Publication Year: 2015, Page(s):xviii - xix
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  • Organizing Committee

    Publication Year: 2015, Page(s):xx - xxii
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  • Program Committee

    Publication Year: 2015, Page(s):xxiii - xxvi
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  • Workshop Organizers

    Publication Year: 2015, Page(s):xxvii - xxxi
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  • Shape-Based Pedestrian Segmentation in Still Images

    Publication Year: 2015, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (448 KB)

    Pedestrian segmentation is a problem of considerable practical interest. In this work we propose a shape-based model for pedestrian segmentation. Our model is initialized by a bounding-box of the person under analysis, which can be estimated by a person detector. The basic idea of the proposed model is to create a graph around the detected person, based on a scale invariant shape model and the est... View full abstract»

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  • Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening

    Publication Year: 2015, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (702 KB) | HTML iconHTML

    We present a vision-based, data-driven approach to identifying and measuring refractive errors in human subjects with low-cost, easily available equipment and no specialist training. Vision problems, such as refractive error (e.g. nearsightedness, astigmatism, etc) are common ocular problems, which, if uncorrected, may lead to serious visual impairment. The diagnosis of such defects conventionally... View full abstract»

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  • Development of a Web-Based Haptic Authoring Tool for Multimedia Applications

    Publication Year: 2015, Page(s):13 - 20
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1264 KB) | HTML iconHTML

    In this paper, we introduce an MPEG-V based haptic authoring tool intended for simplifying the development process of haptics-enabled multimedia applications. The developed tool provides a web-based interface for users to create haptic environments by importing 3D models and adding haptic properties to them. The user can then export the resulting environment to a standard MPEG-V format. The latter... View full abstract»

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  • Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning

    Publication Year: 2015, Page(s):21 - 26
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (497 KB) | HTML iconHTML

    We present an interactive approach for analyzing crowd videos and generating content for multimedia applications. Our formulation combines online tracking algorithms from computer vision, non-linear pedestrian motion models from computer graphics, and machine learning techniques to automatically compute the trajectory-level pedestrian behaviors for each agent in the video. These learned behaviors ... View full abstract»

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  • Planogram Compliance Checking Using Recurring Patterns

    Publication Year: 2015, Page(s):27 - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2741 KB) | HTML iconHTML

    This paper proposes a novel automated planogram compliance checking method for retail chains without requiring product template images for modeling or training. Product layout information is extracted from one single input image by means of unsupervised recurring pattern detection and matched via graph matching with the expected product layout specified by a planogram. To improve the efficiency, a... View full abstract»

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  • Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments

    Publication Year: 2015, Page(s):33 - 38
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (312 KB) | HTML iconHTML

    In the field of medical endoscopy more and more surgeons are changing over to record and store videos of their endoscopic procedures, such as surgeries and examinations, in long-term video archives. In order to support surgeons in accessing these endoscopic video archives in a content-based way, we propose a simple yet effective signature-based approach: the Signature Matching Distance based on ad... View full abstract»

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  • User Reachability in Multi-Apps Environment

    Publication Year: 2015, Page(s):39 - 44
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (9273 KB) | HTML iconHTML

    Recent progress in web real-time communication (WebRTC) promotes multi-apps environment by creating islands of communication apps where users of one website or service cannot easily communicate with those of another. We describe the architecture and implementation of a multi-platform system to do user reachability in multiple communication services where users decide how they want to be reached on... View full abstract»

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  • Feature Extraction from 2D Images for Body Composition Analysis

    Publication Year: 2015, Page(s):45 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (874 KB) | HTML iconHTML

    Body volume and body shape have been used in the estimation of body composition in clinical research. However, the determination of body volume typically requires sophisticated and expensive equipment. Similarly, the use of body shape to predict body composition is limited by rater biases as well as reproducibility. In this paper, we aim to introduce simple yet relatively accurate techniques for b... View full abstract»

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  • Fast Face Model Reconstruction and Synthesis Using an RGB-D Camera and Its Subjective Evaluation

    Publication Year: 2015, Page(s):53 - 56
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (240 KB) | HTML iconHTML

    It is difficult to show a frontal face in video chatting because there is a gap between a display and a camera. We propose a method for real-time face reorientation by creating a 2.5-D face model from a single RGB-D camera and synthesizing the rotated face model with the original face image. Our method uses two kinds face models complementarily: a point cloud based model and a generic face model f... View full abstract»

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  • Automatic Fight Detection Based on Motion Analysis

    Publication Year: 2015, Page(s):57 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (168 KB) | HTML iconHTML

    Social signal processing is becoming an important topic in affective computing. In this paper, we focus on an important social interaction in real life, namely, fighting. Fight detection will be useful in public transportation, prisons, bars, or even sport. A robust mechanism in detecting fights from a video will be extremely useful, especially in applications relevant to surveillance systems. Rec... View full abstract»

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  • Collaborative Rehabilitation Support System: A Comprehensive Solution for Everyday Rehab

    Publication Year: 2015, Page(s):61 - 64
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (382 KB) | HTML iconHTML

    Repetitive rehabilitation exercises on a regular basis are crucial for enhancing and restoring functional ability and quality of life to those with cognitive and physical disabilities such as stroke. However, a good proportion of patients are often non-compliant to the repetitive exercise regimen prescribed by their therapists. This may be due to a variety of factors including lack of motivation. ... View full abstract»

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  • A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos

    Publication Year: 2015, Page(s):65 - 68
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (283 KB) | HTML iconHTML

    Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video frames. A new strategy is used for remov... View full abstract»

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  • Automatic Segmentation of Hair in Images

    Publication Year: 2015, Page(s):69 - 72
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (980 KB) | HTML iconHTML

    Based on a multi-step process, an automatic hair segmentation method is created and tested on a database of 115 manually segmented hair images. By extracting various information components from an image, including background color, face position, hair color, skin color, and skin mask, a heuristic-based method is created for the detection and segmentation of hair that can detect hair with an accura... View full abstract»

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  • Multiple Human Monitoring with Wireless Fiber-Optic Multimedia Sensor Networks

    Publication Year: 2015, Page(s):73 - 76
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (546 KB) | HTML iconHTML

    This paper presents a binary compressive sensing based fiber-optic sensor system for human monitoring. Fiber-optic sensors are flexible and convenient to measure pressure information of humans. Such a nature enables fiber-optic sensors to achieve localization and tracking directly. In order to capture more information of human subjects and scenes, a Bernoulli mixture model is proposed to model sce... View full abstract»

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