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Mobile Cloud Visual Media Computing

From Interaction to Service

  • Book
  • © 2015

Overview

Editors:
  1. Gang Hua

    1. Visual Computing Group, Microsoft Research Asia, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Xian-Sheng Hua

    1. Alibaba Group, Hangzhou, China

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    You can also search for this editor in PubMed   Google Scholar

  • Provides a synopsis of state-of-the-art on mobile cloud and visual media computing
  • Presents a prospect for future research in mobile cloud and visual media computing
  • Presents research and engineering practices in building mobile and cloud visual media computing based applications
  • Includes supplementary material: sn.pub/extras

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-x
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  2. Mobile Augmented Reality

    1. Front Matter

      Pages 1-1
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    2. Computer Vision for Mobile Augmented Reality

      • Matthew Turk, Victor Fragoso
      Pages 3-42

  3. Mobile Computational Photography

    1. Front Matter

      Pages 43-43
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    2. High-Quality Video Denoising for Motion-Based Exposure Control

      • Li Zhang, Travis Portz, Hongrui Jiang
      Pages 45-59

    3. Panoramic Video Construction from Mobile Video Streams

      • Motaz El Saban, Ayman Kaheel
      Pages 61-83

    4. Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior

      • Bo Xiong, Kristen Grauman
      Pages 85-111

    5. Photo Composition Feedback and Enhancement

      • Jia Li, Lei Yao, James Z. Wang
      Pages 113-144

  4. Mobile Visual Search and Recognition

    1. Front Matter

      Pages 145-145
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    2. FaceSimile: A Mobile Application for Face Image Search Based on Interactive Shape Manipulation

      • Li Zhang, Brandon M. Smith, Shengqi Zhu
      Pages 147-165

    3. Exploiting On-Device Image Classification for Energy Efficiency in Ambient-Aware Systems

      • Mohammed Shoaib, Swagath Venkataramani, Xian-Sheng Hua, Jie Liu, Jin Li
      Pages 167-199

    4. Compact Deep Neural Networks for Device-Based Image Classification

      • Zejia Zheng, Zhu Li, Abhishek Nagar
      Pages 201-217

    5. Assistive Text Reading from Natural Scene for Blind Persons

      • Chucai Yi, Yingli Tian
      Pages 219-241

    6. Mobile Image Search: Challenges and Methods

      • Xin Yang, K. T. Tim Cheng
      Pages 243-262

  5. Cloud Visual Computing and Mobile Applications

    1. Front Matter

      Pages 263-263
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    2. CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service

      • Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal, Neelima Chavali, Prakriti Banik, Akrit Mohapatra et al.
      Pages 265-290

    3. Cloud-Based Mobile Experience Sharing Through Automatic Multimedia Blogging

      • Hongzhi Li, Xian-Sheng Hua
      Pages 291-305

    4. Automatic Visual Pattern Discovery via Cohesive Subgraph Mining

      • Gangqiang Zhao, Junsong Yuan
      Pages 307-325

  6. Mobile Multiple Sensor Fusion

    1. Front Matter

      Pages 327-327
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    2. Absolute Scale Estimation of 3D Monocular Vision on Smart Devices

      • Christopher Ham, Simon Lucey, Surya Singh
      Pages 329-353
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Keywords

About this book

This book explores the internet and mobile ecosystems which are powered by cloud computing – an essential, if not indispensable, part of our everyday lives. Billions of users world-wide use this technology for information sharing, communication and social networking and a high proportion of activity is driven by massive media content such as images, videos and other emerging 3D visual media. However, managing, searching and visualizing this gigantic amount of data to facilitate communication is difficult which has led to an influx of innovation and research in these areas.

The research is from academics from all around the world, focusing on the intersection of mobile, cloud, visual and multimedia computing and is split into five clear parts. Topics covered in the book include mobile augmented reality, computational photography, mobile visual recognition and search, and human-computer interaction (HCI). The findings discussed is meant to spur on further creative development in both academia and industry within this area.

Mobile Cloud Visual Media Computing would of great interest to researchers and academics wishing to see how the state-of-the-art in media computing research is applied to innovative applications, whilst engineers and software designers from industry will gain an insight into the key set of technologies which support mobile and cloud media computing.

Editors and Affiliations

  • Visual Computing Group, Microsoft Research Asia, Beijing, China

    Gang Hua

  • Alibaba Group, Hangzhou, China

    Xian-Sheng Hua

Bibliographic Information

  • Book Title: Mobile Cloud Visual Media Computing

  • Book Subtitle: From Interaction to Service

  • Editors: Gang Hua, Xian-Sheng Hua

  • DOI: https://doi.org/10.1007/978-3-319-24702-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-24700-7Published: 02 December 2015

  • Softcover ISBN: 978-3-319-34490-4Published: 23 August 2016

  • eBook ISBN: 978-3-319-24702-1Published: 23 November 2015

  • Edition Number: 1

  • Number of Pages: X, 353

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

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