Conferences related to Video sharing

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2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.

2019 IEEE International Professional Communication Conference (ProComm)

The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.

2019 IEEE International Solid- State Circuits Conference - (ISSCC)

ISSCC is the foremost global forum for solid-state circuits and systems-on-a-chip. The Conference offers 5 days of technical papers and educational events related to integrated circuits, including analog, digital, data converters, memory, RF, communications, imagers, medical and MEMS ICs.

2019 IEEE Radio and Wireless Symposium (RWS)

This is a conference with a focus on wireless components, applications, and systems that impact both our current and future life style. The conference's main niche is to bring together technologists, circuit designers, system designers, and entrepreneurs at a single event. It was and is the place where these worlds meet, where new processes and systems can be benchmarked against the needs of circuit designers at the bleeding edge of RF systems, where today's design compromises can trigger tomorrow's advanced technologies. Where dreams can become a reality. RWS is the cornerstone conference for Radio Wireless Week.

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Periodicals related to Video sharing

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.

Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.

Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...

Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.

Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)

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Most published Xplore authors for Video sharing

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Xplore Articles related to Video sharing

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A pattern system supporting QoS for synchronous collaborative systems

[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci., CICESE Res. Centre, Baja California, Mexico', u'authorUrl': u'', u'full_name': u'G. Licea', u'id': 37620714400}, {u'author_order': 2, u'authorUrl': u'', u'full_name': u'J. Favela', u'id': 37275998800}, {u'author_order': 3, u'authorUrl': u'', u'full_name': u'J.A. Garcia', u'id': 38256109300}, {u'author_order': 4, u'authorUrl': u'', u'full_name': u'J.A. Aguilar', u'id': 38255301800}] Proceedings of International Conference on Protocols for Multimedia Systems - Multimedia Networking, 1997

Synchronous collaborative applications have varying demands of network service requirements, such as bandwidth, latency, or in general quality of service (QoS). Based on the number of active members, floor control and focus of attention, the low-level control of parameters can overwhelm the developers of systems. To address this problem we have extended a pattern system for collaborative software development, named ...

FMV-FM video broadcast system

[{u'author_order': 1, u'affiliation': u'Hwa Shia Coll. of Technol. & Commerce, Taiwan', u'authorUrl': u'', u'full_name': u'Sheng-Wen Hong', u'id': 37734425300}, {u'author_order': 2, u'authorUrl': u'', u'full_name': u'Ling-Yuan Tseng', u'id': 38155213500}] IEEE Transactions on Consumer Electronics, 1996

Introduces a new method to deliver video programs. It uses the FM subcarrier channels as the media, then applies video compression techniques, channel bandwidth compression techniques and channel bundling techniques onto those SCA channels. A description of this new method is only presented at the system level.

On the performance of WCDMA based emergency multi-system access utilizing selecting proper base station mechanism

[{u'author_order': 1, u'affiliation': u'Disaster Management and Mitigation Group, National Institute of Information and Communications Technology, Japan', u'authorUrl': u'', u'full_name': u'Hoang Nam Nguyen', u'id': 38183761700}, {u'author_order': 2, u'affiliation': u'Disaster Management and Mitigation Group, National Institute of Information and Communications Technology, Japan', u'authorUrl': u'', u'full_name': u'Kazunori Okada', u'id': 37406623800}, {u'author_order': 3, u'affiliation': u'Disaster Management and Mitigation Group, National Institute of Information and Communications Technology, Japan', u'authorUrl': u'', u'full_name': u'Osamu Takizawa', u'id': 37294995900}] 2008 International Conference on Advanced Technologies for Communications, 2008

After natural disasters occur, people in disaster areas need to inform their families, friends about their current situation thus resulting in a high demand of call requests to mobile telephone networks. In this paper, we study an emergency communications infrastructure which exploits wideband CDMA (WCDMA) based emergency multi-system access (EMSA) utilizing a mechanism of selecting proper base station (SPBS). In ...

A Peer-to-Peer Overlay Network for Real Time Video Communication using Multiple Paths

[{u'author_order': 1, u'affiliation': u'University of Illinois at Chicago, Electrical and Computer Engineering department, Chicago, IL, USA', u'full_name': u'Andrea De Mauro'}, {u'author_order': 2, u'affiliation': u'University of Illinois at Chicago, Electrical and Computer Engineering department, Chicago, IL, USA', u'authorUrl': u'', u'full_name': u'Dan Schonfeld', u'id': 37294984500}, {u'author_order': 3, u'affiliation': u'Politecnico di Torino, Dipartimento di Elettronica, Torino, Italy', u'authorUrl': u'', u'full_name': u'Claudio Casetti', u'id': 37266445800}] 2006 IEEE International Conference on Multimedia and Expo, 2006

This paper presents a peer-to-peer (P2P) service for the transmission of real- time video content, exploiting the contemporary usage of multiple network paths over the current Internet. Before starting the transmission, the sender probes the available paths for their round trip time and other parameters using simple ICMP packets. Then it chooses the set of paths to be used in ...

Constructing an intelligent travel information platform based on Location Base Service

[{u'author_order': 1, u'affiliation': u'Department of Information Technology, Overseas Chinese University, No:100, Chiao Kwang Rd., Taichung 407, Taiwan, R.O.C.', u'authorUrl': u'', u'full_name': u'Jason C. Hung', u'id': 37430777200}, {u'author_order': 2, u'affiliation': u'Department of Information Technology, Overseas Chinese University, No:100, Chiao Kwang Rd., Taichung 407, Taiwan, R.O.C.', u'authorUrl': u'', u'full_name': u'Yueh Hsuan Lee', u'id': 37600714400}] 2009 Joint Conferences on Pervasive Computing (JCPC), 2009

When you travel, there are a lot of emotions and memory which you would get. Everyone wants to retain forever in their minds. With the technological advancements, there are a lot of tools that could remain the moment. Through the different platforms of the ways to connect and Location Base Service, the moment it could be stored by digital image, ...

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Educational Resources on Video sharing

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No eLearning Articles are currently tagged "Video sharing"


  • Places of Shared Stories

    This chapter contains sections titled: Emergent Places, Functionality in Social Virtual Places, Quests in Social Virtual Places, Story Maps in Shared Game Spaces, Places Forming Cultures

  • Virtual Places

    This chapter contains sections titled: Identity and Place, Shared Actions and Goals, Machinima as Memory

  • MPEG‐2 System Applications

    A standard for coding video/audio is typically defined so that it can be used in any conceivable application; there is no reason to limit usage of the standard to mainstream applications. However, sometimes niche markets have requirements that are not shared with the mainstream applications, in which case the mainstream applications may apply a subset of the generic standard. Hence, in many applications a need was identified to define additional constraints. To ensure interoperability within an application domain, such constraints are usually specified by application standardization bodies. In addition the application standardization bodies often specify complementary technology, such as the use of application specific program specific information (PSI), carriage of teletext or closed caption type of data, channel coding technology, and the use of scrambling and tools to support interactive applications. This chapter provides some Motion Picture Experts Group‐2 (MPEG‐2) system related standards defined by digital video broadcasting (DVB).

  • Cooperative Video Streaming in Ultra‐dense Networks with D2D Caching

    This chapter exploits the caching storage resources in the mobile users (MUs) (i.e. D2D helpers) and the downlink resources in the cellular users (CUs) to cooperatively support the macro base stations (MBSs) in video streaming services (VSSs). This means that the requesters can retrieve VSSs from both the D2D helpers with offloading D2D communications and the MBSs in 5G networks. The chapter proposes the system model for cooperative video streaming in 5G networks with dense D2D caching. It formulates the rate allocation and description distribution optimization (RDO) problem and introduces its solution. The chapter presents simulation results for performance evaluation. To evaluate the performance of D2D caching, the chapter considers a typical cell of 5G networks including one MBS and two CUs that share their downlink resources with ten D2D pairs (i.e. each has a D2D helper and a D2D requester).

  • Interactive Technologies for Autism: A Review

    Development, deployment, and evaluation of interactive technologies for individuals with autism have been rapidly increasing over the last decade. There is great promise for the use of these types of technologies to enrich interventions, facilitate communication, and support data collection. Emerging technologies in this area also have the potential to enhance assessment and diagnosis of individuals with autism, to understand the nature of autism, and to help researchers conduct basic and applied research. This book provides an in-depth review of the historical and state-of-the-art use of technology by and for individuals with autism. The intention is to give readers a comprehensive background in order to understand what has been done and what promises and challenges lie ahead. By providing a classification scheme and general review, this book can also help technology designers and researchers better understand what technologies have been successful, what problems remain open, and where innovations can further address challenges and opportunities for individuals with autism and the variety of stakeholders connected to them.

  • Face Detection and Adaptation

    Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. We then present two multiple instance learning schemes for face detection, multiple instance learning boosting (MILBoost) and winner-take-all multiple category boosting (WTA-McBoost). MILBoost addresses the uncertainty in accurately pinpointing the location of the object being detected, while WTA-McBoost addresses the uncertainty in determining the most appropriate subcategory label for multiview object detection. Both schemes can resolve the ambiguity of the labeling process and reduce outliers during training, which leads to improved detector performances. In many applications, a detector trained with generic data sets may not perform optimally in a new environment. We propose detection adaption, which is a promising solution for this problem. We present an adaptation scheme based on the Taylor expansion of the boosting learning objective function, and we propose to store the second order statistics of the generic training data for future adaptation. We show that with a small amount of labeled data in the new environment, the detector's performance can be greatly improved. We also present two interesting applications where boosting learning was applied successfully. The first application is face verification for filtering and ranking image/video search results on celebrities. We present boosted multi-task learning (MTL), yet another boosting learning algorithm that extends MILBoost with a graphical model. Since the available number of training images for each celebrity may be limited, learning individual classifiers for each person may cause overfitting. MTL jointly learns classifiers for multiple people by sharing a few boosting classifiers in order to avoid overfitting. The second application addresses the need of speaker detection in conference rooms. The goal is to find who is speaking, given a microphone array and a panoramic video of the room. We show that by combining audio and visual features in a boosting framework, we can determine the speaker's position very accurately. Finally, we offer our thoughts on future directions for face detection. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work

  • Social Media and Library Services

    The rise of social media technologies has created new ways to seek and share information for millions of users worldwide, but also has presented new challenges for libraries in meeting users where they are within social spaces. From social networking sites such as Facebook and Google+, and microblogging platforms such as Twitter and Tumblr to the image and video sites of YouTube, Flickr, Instagram, and to geotagging sites such as Foursquare, libraries have responded by establishing footholds within a variety of social media platforms and seeking new ways of engaging with online users in social spaces. Libraries are also responding to new social review sites such as Yelp and Tripadvisor, awareness sites including StumbleUpon, Pinterest, Goodreads, and Reddit, and social question-and-answer (Q&A) sites such as Yahoo! Answers—sites which engage social media users in functions similar to traditional library content curation, readers' advisory, information and referral, and reference services. Establishing a social media presence extends the library's physical manifestation into virtual space and increases the library's visibility, reach, and impact. However, beyond simply establishing a social presence for the library, a greater challenge is building effective and engaging social media sites that successfully adapt a library's visibility, voice, and presence to the unique contexts, audiences, and cultures within diverse social media sites. This lecture examines the research and theory on social media and libraries, providing an overview of what is known and what is not yet known about libraries and social media. Chapter 1 focuses on the social media environments within which libraries are establishing a presence, including how social media sites differ from each other, yet work together within a social ecosphere. Chapter 2 examines how libraries are engaging with users across a variety of social media platforms and the extent to which libraries are involved in using these different social media platforms, as well as the activities of libraries in presenting a social "self," sharing information, and interacting with users via social media. Chapter 3 explores metrics and measures for assessing the impact of the library's activity in social media sites. The book concludes with Chapter 4 on evolving directions for libraries and social media, including potential implications of new and emerging technologies for libraries in social spaces.

  • PlatonTV: A Scientific High Definition Content Delivery Platform

    Platon Scientific high definition (HD) interactive TV, PlatonTV in short, is an interactive Internet Protocol (IP) television service built to provide HD digital content to foster education, facilitate knowledge sharing, and popularize science. This chapter concentrates on PlatonTV content delivery and the related issues. It presents similar systems designed to support education and science popularization with the use of video streaming to provide background for PlatonTV presentation. The platform architecture is introduced with the content delivery network (CDN) relation to other components explained. Steps leading to and including content delivery, such as content ingest, content distribution, and management within the CDN, and content delivery to end‐users are also described. The chapter also discusses the platform availability and reliability issues and presents the authors approach to address these issues on multiple levels. Finally it provides a platform presentation.

  • Social Media

    This chapter describes principles and guidelines for using social media to share risk‐related content, engage stakeholders, and monitor changes in perception, as well as laying out some guidelines for specific types of social media. Readers will also learn about organizational barriers to using social media and how to overcome them, how to evaluate the effectiveness of social media efforts, and how to identify and respond to fake news in social media.

  • Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models

    Data sets that characterize human activity over time through collections of time-stamped events or counts are of increasing interest in application areas as human-computer interaction, video surveillance, and Web data analysis. We propose a non-parametric Bayesian framework for modeling collections of such data. In particular, we use a Dirichlet process framework for learning a set of intensity functions corresponding to different categories, which form a basis set for representing individual time-periods (e.g., several days) depending on which categories the time-periods are assigned to. This allows the model to learn in a data-driven fashion what “factors” are generating the observations on a particular day, including (for example) weekday versus weekend effects or day-specific effects corresponding to unique (single-day) occurrences of unusual behavior, sharing information where appropriate to obtain improved estimates of the behavior associated with each category. Applications to real—world data sets of count data involving both vehicles and people are used to illustrate the technique.

Standards related to Video sharing

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Jobs related to Video sharing

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