Social Data and Multimedia Analytics for News and Events ApplicationsYiannis Kompatsiaris
The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor.
Content:
Introduction
Motivation – Challenges
SocialSensor Project and Use Cases
Research Approaches
Large-Scale visual search
Clustering
Verification
Demos – Applications
MM News Demo
Clusttour
Thessfest
Conclusions
"Μια πόλη από το μέλλον": Πως ο πολίτης μπορεί να γίνει συμμέτοχος μέσω της χ...Yiannis Kompatsiaris
Παρουσιάζονται παραδείγματα και αποτελέσματα του Εργαστηρίου Γνώσης, Πολυμέσων και Ανάλυσης Κοινωνικών Δικτύων του ΕΚΕΤΑ-ΙΠΤΗΛ (http://mklab.iti.gr) που αφορούν εφαρμογές που υποστηρίζουν τη συμμετοχή των πολιτών σε τομείς όπως: Αυτο-οργάνωση εθελοντικών κινημάτων, Συλλογική καταγραφή προβλημάτων, Συμμετοχή στη διαχείριση προβλημάτων και δημοσίου χώρου, Σχεδιασμό σε μελλοντικές δράσεις και έργα στην πόλη. Η παρουσίαση δόθηκε στα πλαίσια του συνεδρίου "Μια πόλη από το μέλλον", που διοργανώθηκε από την Παράλλαξη: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon
Social Data and Multimedia Analytics for News and Events ApplicationsYiannis Kompatsiaris
The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor.
Content:
Introduction
Motivation – Challenges
SocialSensor Project and Use Cases
Research Approaches
Large-Scale visual search
Clustering
Verification
Demos – Applications
MM News Demo
Clusttour
Thessfest
Conclusions
"Μια πόλη από το μέλλον": Πως ο πολίτης μπορεί να γίνει συμμέτοχος μέσω της χ...Yiannis Kompatsiaris
Παρουσιάζονται παραδείγματα και αποτελέσματα του Εργαστηρίου Γνώσης, Πολυμέσων και Ανάλυσης Κοινωνικών Δικτύων του ΕΚΕΤΑ-ΙΠΤΗΛ (http://mklab.iti.gr) που αφορούν εφαρμογές που υποστηρίζουν τη συμμετοχή των πολιτών σε τομείς όπως: Αυτο-οργάνωση εθελοντικών κινημάτων, Συλλογική καταγραφή προβλημάτων, Συμμετοχή στη διαχείριση προβλημάτων και δημοσίου χώρου, Σχεδιασμό σε μελλοντικές δράσεις και έργα στην πόλη. Η παρουσίαση δόθηκε στα πλαίσια του συνεδρίου "Μια πόλη από το μέλλον", που διοργανώθηκε από την Παράλλαξη: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon
The DemaWare Service-Oriented AAL Platform for People with DementiaYiannis Kompatsiaris
This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes.
Social Data and Multimedia Analytics for News and Events Applications lecture given at 2015 IEEE SPS Italy Chapter Summer School on Signal Processing (S3P)
Improve My City: App for Citizens Reporting Issues in Municipalities – RegionsYiannis Kompatsiaris
The application enables citizens to report local problems such as potholes, illegal trash dumping, faulty street lights, broken tiles on sidewalks, and illegal advertising boards. The submitted issues are displayed on the city's map. Users may add photos and comments. Moreover, they can suggest solutions for improving the environment of their neighbourhood.
The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams.
Social Media Verification Challenges, Approaches and ApplicationsYiannis Kompatsiaris
As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction)
Socialsensor project overview and topic discovery in tweeter streams Yiannis Kompatsiaris
A description of SocialSensor project motivation, objectives and use cases in news and infotainment. First results in topic discovery in tweeter streams.
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...Yiannis Kompatsiaris
SocialSensor: Sensing User Generated Input for Improved Media Discovery and Experience
Social Multimedia Crawling & Mining
EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams
Social media mining and multimedia analysis research and applicationsYiannis Kompatsiaris
In this talk, research and applications in social media mining and multimedia analysis are going to be presented. Social media sharing websites host billions of images and videos, which have been annotated and shared among friends, or published in groups that cover a specific topic of interest. The fact that users annotate and comment on the content in the form of tags, ratings, preferences and so on, and that these activities are performed on a daily basis, gives such social media data source an extremely dynamic nature that reflects topics of interests, events and the evolution of community opinion and focus.
The talk will present research challenges and activities and will focus on multi-modal graph-based community detection methods for social media mining, concept and event detection. Clusttour, a mobile and web application integrating research results with appropriate interface design will be demonstrated as a relevant use case. The talk will also include approaches for object/region classifiers learned using the self-training paradigm with loosely annotated training samples automatically selected from social media.
Τεχνικές Αναγνώρισης Προτύπων και Μηχανικής Μάθησης για Εφαρμογές Ανάλυσης Πο...Yiannis Kompatsiaris
Η ομιλία περιλαμβάνει εφαρμογές τεχνικών αναγνώρισης προτύπων και μηχανικής μάθησης σε ανάλυση πολυμέσων και κοινωνικών δικτύων. Πιο συγκεκριμένα, θα παρουσιαστούν τεχνικές και εφαρμογές κατάτμησης εικόνων με χρήση Κ-Μέσων και επεκτάσεων, χρήση Support Vector Ma-chines για μάθηση εννοιών σε εικόνες καθώς και τεχνικές ανάλυσης γράφων από κοινωνικά δίκτυα. Θα παρουσιαστούν σχετικές εφαρμογές που αξιοποιούν τα αποτελέσματα της ανάλυσης, όπως αναζήτηση πολυμέσων και εφαρμογή για τουρισμό και ενημέρωση από κοινωνικά δίκτυα. Θα αναφερθούν τρέχοντα ερευνητικά προβλήματα και περιοχές.
Исследование «Социальные сети в России сегодня» за февраль 2016 года. Представлены данные по аудитории, возрасту, полу и региональному распределению авторов соцсетей России, а также рейтинги популярных авторов и групп.
Исследование «Социальные сети в России сегодня: цифры, тренды, прогнозы» за декабрь 2015 года. В исследовании представлены данные по аудитории, возрасту, полу и региональному распределению авторов соцсетей России, а также включены данные по самым популярным авторам и группам каждой социальной сети.
Представляем данные исследования «Социальные сети в России сегодня: цифры, тренды, прогнозы» за апрель 2015 года. Это шестая регулярная публикация актуальных данных о проникновении социальных медиа по регионам России, поло-возрастной структуре авторов сообщений и степени их активности. Кроме того, в исследование включены уникальные данные по самым популярным авторам и группам по каждой социальной сети.
16. DIADOHOKINETIC (DDK) TEST
DDK tests are used by speech -language pathologists for assessment
of motor speech impairments, e.g. dysarthria
Quick and accurate production of rapid, alternating sound tokens
involving different parts of mouse, e.g. “puh-tuk-kuh—puh-tuh-kuh—
…”
Our hypothesis and research direction:
The DDK test may challenge both motor and cognitive control over speech
production
Motor and cognitive faults deteriorate the temporal regularity of the audio
signal normally expected in this type of utterances
We can develop a regularity measure of the DDK performance
Is the DDK regularity useful in distinguishing between Control/MCI/AD
groups?