Mobile Cloud Visual Media Computing

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.

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

Inhalt

Part I: Mobile Augmented Reality .- Computer Vision for Mobile Augmented Reality.- Part II: Mobile Computational Photography.- High-Quality Video Denoising for Motion-Based Exposure Control.- Panoramic Video Construction from Mobile Video Streams.- Intentional Photos from Unintentional Photographers.- Photo Composition Feedback and Enhancement.- Part III: Mobile Visual Search and Recognition .- FaceSimile: A Mobile Application for Face Image Search Based on Interactive Shape Manipulation.- Exploiting On Devise Image Classification for Energy Efficiency in Ambient-Aware Systems.- Compact Deep Neural Networks for Device Based Image Classifications.- Assistive Text Reading From Science for Blind Persons .- Mobile Image Search.- Part IV: Cloud Visual Computing and Mobile Applications .- Cloud CV: Large Scale Distributed Computer Vision As a Cloud Science.- Cloud Based Mobile Experience Sharing Through Automatic Multimedia Blogging.- Automatic Visual Pattern Discovery via Cohesive Sub-graph Mining.- Part V: Mobile Multiple Sensor Fusion .- Absolute Scale Estimation of 3D Monocular Vision on Smart Devises. <p