David A Shamma

FX Palo Alto Laboratory, Research, Senior Scientist

Northwestern University, Computer Science, Alumnus

National University of Singapore, Interactive and Digital Media Institute, Visiting Senior Research Fellow

Yahoo, Research, Department Member

CWI Amsterdam, Distributed and Interactive Systems Group, Senior Scientist

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scientist artist studying AI, HCI, Multimedia, and (occasionally) Creativity
Supervisors: Kristian Hammond, Don Norman, Larry Birnbaum, and Shannon Bradshaw

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Ioannis Karydis

Ionian University

Phivos Mylonas

University of West Attica / Πανεπιστήμιο Δυτικής Αττικής

Paloma de Juan

Jude Yew

National University of Singapore

jude yew

National University of Singapore

Gregor Miller

University of British Columbia

Matthew Fong

Wei Tsang Ooi

National University of Singapore

Aki Kanerva

Aalto University

Teemu Mäki-patola

Aalto University

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Papers by David A Shamma

Crowdsourcing user interactions within web video through pulse modeling

CrowdMM 2012 - Proceedings of the 2012 ACM Workshop on Crowdsourcing for Multimedia, Co-located with ACM Multimedia 2012, 2012

Semantic video research has employed crowdsourcing techniques on social web video data sets such ... more Semantic video research has employed crowdsourcing techniques on social web video data sets such as comments, tags, and annotations, but these data sets require an extra effort on behalf of the user. We propose a pulse modeling method, which analyzes implicit user interactions within web video, such as rewind. In particular, we have modeled the user information seeking behavior as a time series and the semantic regions as a discrete pulse of fixed width. We constructed these pulses from user interactions with a documentary video that has a very rich visual style with too many cuts and camera angles/frames for the same scene. Next, we calculated the correlation coefficient between dynamically detected user pulses at the local maximums and the reference pulse. We have found when people are actively seeking for information in a video, their activity (these pulses) significantly matches the semantics of the video. This proposed pulse analysis method complements previous work in contentbased information retrieval and provides an additional user-based dimension for modeling the semantics of a web video.

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Herramientas para construir y compartir modelos de conocimiento basados en mapas conceptuales

by Alberto J Cañas, David A Shamma, and John Coffey

… de Informática …, Jan 1, 2000

Este artículo presenta el avance de un proyecto de investigación cuyo objetivo es el desarrollo d... more Este artículo presenta el avance de un proyecto de investigación cuyo objetivo es el desarrollo de nuevas tecnologías que faciliten construir y compartir modelos de conocimiento. Usando herramientas computacionales basadas en mapas conceptuales, usuarios de todas las edades colaboran en su aprendizaje mediante la construcción y crítica de conocimiento y la navegación a través de sistemas de multimedia en red creados por expertos. Las herramientas integran nuevas y variadas tecnologías con enfoques modernos de educación, y de navegación y organización de información.

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Concept maps applied to Mars exploration public outreach

by Alberto J Cañas and David A Shamma

Concept maps: Theory, …, Jan 1, 2004

This paper describes CMEX Mars, an effort to create a comprehensive set of concept maps to descri... more This paper describes CMEX Mars, an effort to create a comprehensive set of concept maps to describe all aspects of Mars exploration. These concept maps, created using the CmapTools software developed by the Institute for Human and Machine Cognition, are available on the Internet at http://cmex.arc.nasa.gov/CMEX and are linked among themselves as well as to resources on the Internet. The work described took place mainly between 1998 and 2001 and combined the goals of: 1) developing a library of concept maps for educational outreach, while also 2) refining the capabilities of the software used to create the interactive maps, and 3) making them available on the Internet. Here we focus on the library of Mars exploration concept maps that has been created.

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Herramientas Para Construir Y Compartir Modelos De Conocimiento

by Alberto J Cañas, David A Shamma, and John Coffey

WISE

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Twitteando Minaretes: Una perspectiva personal de unirse a las metodologías

Cuestiones Etnografia, 2013

Embracing Error to Enable Rapid Crowdsourcing

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 2016

The New Data and New Challenges in Multimedia Research

ABSTRACT We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest... more ABSTRACT We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest public multimedia collection that has ever been released. The dataset contains a total of 100 million media objects, of which approximately 99.2 million are photos and 0.8 million are videos, all of which carry a Creative Commons license. Each media object in the dataset is represented by several pieces of metadata, e.g. Flickr identifier, owner name, camera, title, tags, geo, media source. The collection provides a comprehensive snapshot of how photos and videos were taken, described, and shared over the years, from the inception of Flickr in 2004 until early 2014. In this article we explain the rationale behind its creation, as well as the implications the dataset has for science, research, engineering, and development. We further present several new challenges in multimedia research that can now be expanded upon with our dataset.

If It Is Funny, It Is Mean (Understanding Social Perceptions of Yelp Online Reviews)

Proceedings of the 18th International Conference, Nov 9, 2014

Who's Time Is It Anyway? (Investigating the Accuracy of Camera Timestamps)

Proceedings of the Acm International Conference, Nov 3, 2014

Understanding Online Reviews (Funny, Cool or Useful?)

Proceedings of the 18th Acm Conference, Feb 28, 2015

Associating Metadata with Media Objects Using Time

Method and Apparatus for Accurate Localization of Points of Interest Using a World Shape

Customizable Gestures for Mobile Devices

Synchronous Delivery of Media Content and Real-Time Communication for Online Dating

The 32 Days of Christmas

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, 2016

Multimode Online Advertisements and Online Advertisement Exchanges

System and Method for Content Based Social Recommendations and Monetization Thereof

Media Event Structure and Context Identification Using Short Messages

My Life On Film

Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '16, 2016

Describing and Understanding Neighborhood Characteristics through Online Social Media

Proceedings of the 24th International Conference on World Wide Web - WWW '15, 2015

Geotagged data can be used to describe regions in the world and discover local themes. However, n... more Geotagged data can be used to describe regions in the world and discover local themes. However, not all data produced within a region is necessarily specifically descriptive of that area. To surface the content that is characteristic for a region, we present the geographical hierarchy model (GHM), a probabilistic model based on the assumption that data observed in a region is a random mixture of content that pertains to different levels of a hierarchy. We apply the GHM to a dataset of 8 million Flickr photos in order to discriminate between content (i.e., tags) that specifically characterizes a region (e.g., neighborhood) and content that characterizes surrounding areas or more general themes. Knowledge of the discriminative and non-discriminative terms used throughout the hierarchy enables us to quantify the uniqueness of a given region and to compare similar but distant regions. Our evaluation demonstrates that our model improves upon traditional Naive Bayes classification by 47% and hierarchical TF-IDF by 27%. We further highlight the differences and commonalities with human reasoning about what is locally characteristic for a neighborhood, distilled from ten interviews and a survey that covered themes such as time, events, and prior regional knowledge.

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Crowdsourcing user interactions within web video through pulse modeling

CrowdMM 2012 - Proceedings of the 2012 ACM Workshop on Crowdsourcing for Multimedia, Co-located with ACM Multimedia 2012, 2012

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Herramientas para construir y compartir modelos de conocimiento basados en mapas conceptuales

by Alberto J Cañas, David A Shamma, and John Coffey

… de Informática …, Jan 1, 2000

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Concept maps applied to Mars exploration public outreach

by Alberto J Cañas and David A Shamma

Concept maps: Theory, …, Jan 1, 2004

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