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ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
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 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
The annual IEEE SoutheastCon conferences promote all aspects of theories and applications of engineering disciplines. Sponsored by the IEEE Region-3 and IEEE Huntsville Section, this event will attract researchers, professionals, and students from the Southeastern region of the U.S. SoutheastCon 2019 will feature tutorial sessions, workshops, Technical Programs, and student Hardware, Software, Ethics, Paper, Web competitions.
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.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
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-- ...
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Proceedings of the 2010 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS '10), 2010
Different kinds of networks at different levels of system design have evolved in the last decade, mainly riding on top of global Internet. Regardless of the type of the network, these networks can be viewed as content sharing and distribution network. Understanding the popularity dynamics of the contents, termed here as Content Hotness, is useful in many ways including the ...
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online ...
2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2013
This paper describes the use of the flipped classroom approach for an Introduction to Electromagnetics course. Video lectures were created on a tablet PC, and uploaded to YouTube. Students watched the videos before coming to class. Class time was used for problem solving strategy (using homework as the problems) and engineering applications of the concepts. Student satisfaction scores (course evaluations) ...
2009 IEEE International Conference on Multimedia and Expo, 2009
Social media sharing Web sites like Flickr allow users to annotate images with free tags, which greatly facilitate social image search and browsing. However, currently tag-based image search on Flickr does not provide the option of relevance-based ranking, i.e., the search results cannot be ranked according to their relevance levels with respect to the query tag, and this has limited ...
2013 46th Hawaii International Conference on System Sciences, 2013
Introduction to the Communication and Social Networks Minitrack
Different kinds of networks at different levels of system design have evolved in the last decade, mainly riding on top of global Internet. Regardless of the type of the network, these networks can be viewed as content sharing and distribution network. Understanding the popularity dynamics of the contents, termed here as Content Hotness, is useful in many ways including the characterization of the workload as well as the system design and evaluation. Despite the fact that popularity skewness among contents has been well studied, the temporal dynamics of popularity of a given content has not been studied extensively. We attempt to propose a discrete time Markov chain (DTMC) model to model such content level hotness dynamics. We focus in two realistic scenario and see how such model can be used to represent the temporal variation in the content popularity.
As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online videos, i.e., metadata, and explore the extent to which video quality can be estimated from metadata. Subjective quality assessment using crowdsourcing is conducted, based on which metadata-based quality models are constructed. It is shown that the estimated quality scores show fairly high correlation with the subjective quality.
This paper describes the use of the flipped classroom approach for an Introduction to Electromagnetics course. Video lectures were created on a tablet PC, and uploaded to YouTube. Students watched the videos before coming to class. Class time was used for problem solving strategy (using homework as the problems) and engineering applications of the concepts. Student satisfaction scores (course evaluations) rose significantly, and preliminary data show test scores have also risen.
Social media sharing Web sites like Flickr allow users to annotate images with free tags, which greatly facilitate social image search and browsing. However, currently tag-based image search on Flickr does not provide the option of relevance-based ranking, i.e., the search results cannot be ranked according to their relevance levels with respect to the query tag, and this has limited the effectiveness of tagbased search. In this paper, we propose a relevance- based ranking scheme for social image search, aiming to automatically rank images according to their relevance to the query tag. It integrates both the visual consistency between images and the semantic correlation between tags in a unified optimization framework. We propose an iterative method to solve the optimization problem, and the relevance-based ranking can thus be accomplished. Experimental results on real Flickr image collection demonstrate the effectiveness of the proposed approach.
Introduction to the Communication and Social Networks Minitrack
In this paper, we describe a novel approach to investigate negative behavior dynamics in online social networks as epidemic phenomena. We present a finite- state machine model for time-varying epidemic dynamics, and validate this model with experiments over a large dataset of Youtube commentaries, indicating how different epidemic patterns of behavior can be tied to specific interaction patterns among users. A full version of this paper is available on arXiv.org.
In recent years, online video sharing services have been growing rapidly. Nowadays, online video sharing becomes one of the most popular ways to produce and consume media. Moreover, with growing 3-D technologies, the interest to 3-D technologies has increased and it becomes easier to produce, share, and consume 3-D media on Internet. This paper investigates 3-D media production and consumption patterns in comparison to 2-D media to get insight to the online 3-D media ecosystem by analyzing metadata and statistics of 10,597,268 2-D videos and 50,972 3-D videos in YouTube. It is shown that the general production and consumption patterns of 2-D and 3-D videos are similar, but they have differences in uploading patterns, video length, category, and user participations. From these differences, we identify distinguished features of online 3-D video sharing. Our findings will serve as valuable information in technical and commercial aspects of contents sharing services.
The robust telecommunications infrastructure developed in Ecuador since 2011 allows greater access to the Internet. In this stage the television stations show interest in exploring digital media and new business models. An example of this is the transit of the television signal open to YouTube. The objectives of this research are to determine the emission trends and consumption on YouTube of the television of Ecuador, and develop a relationship of economic gains. The methodology used is qualitative, based on the analysis of content of the annual reports of the OBITEL, the statistics of the Superintendencia de Compañías de Ecuador and the metrics of the SocialB lade digital tool. It is concluded that the hearing and the economic benefits of the television of Ecuador decrease but gains space on YouTube, as well as on the Internet is dominated by consumption in the accounts of the signal stations open in front of the media originating in the network.
Some digital libraries harvest metadata records from multiple content providers to build their collections. However, the quality and quantity of such metadata records are limited by what is harvested. To ensure collection growth, and to expand the scope beyond just what can be harvested, additional content acquisition methods are needed. Accordingly, we discuss how the Ensemble project (a pathway effort in the NSDL) is broadening its collection with the help of machine learning. Since Ensemble aims to aid computing education, we make use of ACM Digital Library records as a resource to help with transfer learning. We have built classifiers that can identify if a potential additional resource is about computing education. We approached this as a cross-domain text classification problem and developed suitable methods for feature extraction and bootstrapping for classifier training. Our experiments on three datasets of computing education metadata records show our approach can enhance the quality and quantity of records being added to Ensemble.
This paper presents a video editing system based on the proposed rights inheritance framework for generating a secondary content. We propose rights inheritance content editor (RICE) module that provides the editing control with digital rights management (DRM) according to the granted rights during the authoring process, and manages inherited rights generation for derived contents. With our proposed rights inheritance framework and RICE, a secondary content can be generated respecting the rights of original contents.
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