demo.bib
@comment{{This file has been generated by bib2bib 1.96}}
@comment{{Command line: ./bib2bib -ob demo.tmp -c '$type = "DEMO"' -s year -r mediamill.bib}}
@demo{SnoekACM10a,
author = {Cees G. M. Snoek and Bauke Freiburg and Johan Oomen and Roeland Ordelman},
title = {Crowdsourcing Rock N' Roll Multimedia Retrieval},
booktitle = {Proceedings of the {ACM} International Conference on Multimedia},
month = {October},
year = {2010},
pages = {},
address = {Firenze, Italy},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/snoek-crowdsourcing-acm2010.pdf},
abstract = {
In this technical demonstration, we showcase a multimedia search engine that
facilitates semantic access to archival rock n' roll concert video. The key
novelty is the crowdsourcing mechanism, which relies on online users to
improve, extend, and share, automatically detected results in video fragments
using an advanced timeline-based video player. The user-feedback serves as
valuable input to further improve automated multimedia retrieval results,
such as automatically detected concepts and automatically transcribed interviews.
The search engine has been operational online to harvest valuable feedback from
rock n' roll enthusiasts.
}
}
@demo{SnoekACM10b,
author = {Cees G. M. Snoek},
title = {The {MediaMill} Search Engine Video},
booktitle = {Proceedings of the {ACM} International Conference on Multimedia},
month = {October},
year = {2010},
pages = {},
address = {Firenze, Italy},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/snoek-mediamill-video.pdf},
abstract = {
In this video demonstration, we advertise the MediaMill
video search engine, a system that facilitates semantic
access to video based on a large lexicon of visual concept
detectors and interactive video browsers. With an ultimate
aim to disseminate video retrieval research to a non-technical
audience, we explain the need for a visual video retrieval
solution, summarize the MediaMill technology, and hint at
future perspectives.
}
}
@demo{RooijCIVR09,
author = {Ork de Rooij and Cees G. M. Snoek and Marcel Worring},
title = {{MediaMill}: Guiding the User to Results using the {ForkBrowser}},
booktitle = {Proceedings of the {ACM} International Conference on Image and Video Retrieval},
pages = {},
month = {July},
year = {2009},
address = {Santorini, Greece},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/rooij-guiding-forkbrowser-civr2009.pdf},
abstract = {
In this technical demonstration we showcase the MediaMill
Semantic Video Search Engine. It allows usage of multiple
query methods embedded into a single browsing environment
while guiding the user to better results by using
a novel active learning strategy. This allows for fast and
effective search trough large video collections.
}
}
@demo{RooijCIVR08b,
author = {Ork de Rooij and Cees G. M. Snoek and Marcel Worring},
title = {MediaMill: Fast and Effective Video Search using the {ForkBrowser}},
booktitle = {Proceedings of the {ACM} International Conference on Image and Video Retrieval},
pages = {561--561},
month = {July},
year = {2008},
address = {Niagara Falls, Canada},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/rooij-forkbrowser-civr2008.pdf},
abstract = {
In this technical demonstration we showcase the MediaMill
ForkBrowser for video retrieval. It embeds multiple query
methods into a single browsing environment. We show that
users can switch query methods on demand without the need
to adapt to a different interface. This allows for fast and
effective search trough large video collections.
}
}
@demo{SnoekICME08,
author = {Cees G. M. Snoek and Richard van Balen and Dennis C. Koelma and Arnold W. M. Smeulders and Marcel Worring},
title = {Analyzing Video Concept Detectors Visually},
booktitle = {Proceedings of the {IEEE} International Conference on Multimedia \& Expo},
pages = {},
month = {June},
year = {2008},
address = {Hannover, Germany},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/snoek-demo-icme2008.pdf},
abstract = {
In this demonstration we showcase an interactive analysis tool for researchers working
on concept-based video retrieval. By visualizing intermediate concept detection analysis
stages, the tool aids in understanding the success and failure of video concept detection
methods. We demonstrate the tool on the domain of pop concert video.
}
}
@demo{RooijCIVR07,
author = {Ork de Rooij and Cees G. M. Snoek and Marcel Worring},
title = {MediaMill: Semantic Video Browsing using the {RotorBrowser}},
booktitle = {Proceedings of the {ACM} International Conference on Image and Video Retrieval},
pages = {649--649},
month = {July},
year = {2007},
address = {Amsterdam, The Netherlands},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/rooij-rotorbrowser-civr2007.pdf},
abstract = {
In this technical demonstration we showcase the current version of the MediaMill
system, a search engine that facilitates access to news video archives at a semantic
level. The core of the system is a thesaurus of 500 automatically detected semantic
concepts. To handle such a large thesaurus in retrieval, an engine is developed which
automatically selects a set of relevant concepts based on a textual query, and an
novel user interface which uses multi dimensional browsing to visualize the result
set.
}
}
@demo{RooijICME07,
author = {Ork de Rooij and Cees G. M. Snoek and Marcel Worring},
title = {MediaMill: Video Query on demand using the {RotorBrowser}},
booktitle = {Proceedings of the {IEEE} International Conference on Multimedia \& Expo},
pages = {6--6},
month = {July},
year = {2007},
address = {Beijing, China},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/rooij-rotorbrowser-icme2007.pdf},
abstract = {
In this technical demonstration we showcase the RotorBrowser, A visualization
within MediaMill system which uses query exploration as the basis for search
in video archives.
}
}
@demo{SnoekSAMT06,
author = {Cees G. M. Snoek and Marcel Worring and Bouke Huurnink and Jan C. van Gemert and Koen E. A. van de Sande and Dennis C. Koelma and Ork de Rooij},
title = {{MediaMill}: Video Search using a Thesaurus of 500 Machine Learned Concepts},
booktitle = {Proceedings of the 1st International Conference on Semantic and Digital Media Technologies},
month = {December},
year = {2006},
pages = {--},
address = {Athens, Greece},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/snoek-demo-samt2006.pdf},
abstract = {
In this technical demonstration we showcase the current version of the
MediaMill system, a search engine that facilitates access to news video
archives at a semantic level. The core of the system is a thesaurus of
500 automatically detected semantic concepts. To handle such a large
thesaurus in retrieval, an engine is developed which automatically
selects a set of relevant concepts based on the textual query and
userspecified example images. The result set can be browsed easily
to obtain the final result for the query.
}
}
@demo{WorringACM06,
author = {Marcel Worring and Cees G. M. Snoek and Bouke Huurnink and Jan van Gemert and Dennis Koelma and Ork de Rooij},
title = {The {MediaMill} Large-lexicon Concept Suggestion Engine},
booktitle = {Proceedings of the {ACM} International Conference on Multimedia},
month = {October},
year = {2006},
pages = {785--786},
address = {Santa Barbara, USA},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/worring-demo-acm2006.pdf},
abstract = {
In this technical demonstration we show the current version of the
MediaMill system, a search engine that facilitates access to news
video archives at a semantic level. The core of the system is a
lexicon of 436 automatically detected semantic concepts. To handle
such a large lexicon in retrieval, an engine is developed which
automatically selects a set of relevant concepts based on the
textual query and example images. The result set can be browsed
easily to obtain the final result for the query.
}
}
@demo{WorringCIVR06,
author = {Marcel Worring and Cees G. M. Snoek and Ork de Rooij and Giang. P. Nguyen and Richard van Balen and Dennis C. Koelma},
title = {{MediaMill}: Advanced Browsing in News Video Archives},
booktitle = {Proceedings of the International Conference on Image and Video Retrieval, CIVR 2006, Tempe, Arizona, July 13-15, 2006},
editor = {H. Sundaram and others},
series = {LNCS},
volume = {4071},
pages = {533--536},
publisher = {Springer-Verlag},
address = {Heidelberg, Germany},
month = {July},
year = 2006,
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/worring-demo-civr2006.pdf},
abstract = {
In this paper we present our Mediamill video search engine. The basis for
the engine is a semantic indexing process which derives a lexicon of 101
concepts. To support the user in navigating the collection, the system
defines a visual similarity space, a semantic similarity space, a semantic
thread space, and browsers to explore them. It extends upon [1] with improved
browsing tools. The search system is evaluated within the TRECVID benchmark
[2]. We obtain a top-3 result for 19 out of 24 search topics. In addition,
we obtain the highest mean average precision of all search participants.
}
}
@demo{SnoekACM05b,
author = {Cees G. M. Snoek and Marcel Worring and Jan van Gemert and Jan-Mark Geusebroek and Dennis Koelma and Giang P. Nguyen and Ork de Rooij and Frank Seinstra},
title = {{MediaMill}: Exploring News Video Archives based on Learned Semantics},
booktitle = {Proceedings of the {ACM} International Conference on Multimedia},
pages = {225--226},
month = {November},
year = {2005},
address = {Singapore},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/snoek-demo-acm2005.pdf},
abstract = {
In this technical demonstration we showcase the MediaMill system. A search engine
that facilitates access to news video archives at a semantic level. The core of
the system is an unprecedented lexicon of 100 automatically detected semantic
concepts. Based on this lexicon we demonstrate how users can obtain highly relevant
retrieval results using query-by-concept. In addition, we show how the lexicon of
concepts can be exploited for novel applications using advanced semantic
visualizations. Several aspects of the MediaMill system are evaluated as part of
our TRECVID 2005 efforts.
}
}
@demo{SnoekICME05b,
author = {Cees G. M. Snoek and Dennis Koelma and Jeroen van Rest and Nellie Schipper and Frank J. Seinstra and Andrew Thean and Marcel Worring},
title = {{MediaMill}: Searching Multimedia Archives based on Learned Semantics},
booktitle = {Proceedings of the {IEEE} International Conference on Multimedia \& Expo},
pages = {},
month = {July},
year = {2005},
address = {Amsterdam, The Netherlands},
pdf = {},
abstract = {
Video is about to conquer the Internet. Real-time delivery of video content is
technically possible to any desktop and mobile device, even with modest connections.
The main problem hampering massive (re)usage of video content today is the lack of
effective content based tools that provide semantic access. In this contribution
we discuss systems for both video analysis and video retrieval that facilitate
semantic access to video sources. Both systems were evaluated in the 2004 TRECVID
benchmark as top performers in their task.
}
}
@demo{SnoekICME03b,
author = {Cees G. M. Snoek and Marcel Worring},
title = {Goalgle: A Soccer Video Search Engine},
booktitle = {Proceedings of the {IEEE} International Conference on Multimedia \& Expo},
pages = {},
month = {July},
year = {2003},
address = {Baltimore, USA},
pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/goalgle.pdf},
abstract = {
\textit{Goalgle} is a prototype search engine for soccer video. Browsing and retrieval
functionality is provided by means of a web based interface. This interface allows
users to jump to video segments from a collection of prerecorded and analyzed soccer
matches based on queries on specific players, events, matches, and/or text. In this
contribution we discuss the system architecture and functionality of the \textit{Goalgle}
soccer video search engine.
}
}