[ntcir:315] VideoCLEF 2009 - Call for Participation

[Gareth Jones <Gareth.Jones@xxxxxxxxxxxxxxxx>]

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Subject: VideoCLEF 2009 - Call for Participation

Final Call for Participation
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VideoCLEF2009

Video Analysis and Retrieval Benchmark Evaluation
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http://www.cdvp.dcu.ie/VideoCLEF

VideoCLEF 2009 is a track of the CLEF benchmark campaign dedicated to
developing and evaluating tasks involving access to video content in a
multilingual environment. In 2009, we offer four video analysis and
retrieval tasks, which will be carried out on Dutch television
documentaries. Participants can approach these tasks using their own
choice of methods and features. The provided video data will include
speech recognition transcripts, shot boundaries, shot-level keyframes
and archival metadata.

1) Subject Classification

The Subject Classification task involves automatic tagging of videos
with subject labels such as 'Music', 'History', 'Politics', and
'Museums'. This task is related to video genre classification--the
subject theme labels the task uses are semantically more fined grained
than genres, however. The Subject Classification task ran successfully
during the VideoCLEF pilot in 2008. In 2009, this task will run on the
TRECVid 2007 and 2008 collections from the Netherlands Institute for
Sound and Vision. Participants are encouraged to use features derived
from both the speech and visual channels.

2) Affect and Appeal

The goal of the Affect and Appeal task is to move beyond the thematic
content of the video and to analyze video with respect to
characteristics that are important for viewers, but not related to the
video topic. This task will use content from a collection of short form
documentaries taken from the "Beeldenstorm" series. These are described
as having "hilarious" and "moving" moments. This task comprises two
subtasks: the narrative peak detection subtask, in which participants
are asked to find the three funniest, most moving moments in each short
documentary video, and the classification subtask, in which participants
are asked to classify videos as either "popular" or "not-popular".

3) Semantic Keyframe Extraction

Keyframes or keyframe sets allow users to preview video content without
playing the video. In this task, participants carry out keyframe
selection using video and speech/audio features. Selected keyframes
should represent the semantic content of the video, e.g., an episode of
a documentary. This task will also use the "Beeldenstorm" dataset. This
task builds upon the 2008 keyframe extraction task.

4) Finding Related Resources Across Languages

Given a short documentary in Dutch, participants are asked to identify
English-language resources to support viewer comprehension for non-Dutch
speaking viewers. This task is new in 2009. Participants will be given a
number of selected time points for each short documentary and asked to
link each time point to a relevant article from the English language
Wikipedia. This task will also use the "Beeldenstorm" dataset.

VideoCLEF 2009 takes place on the following schedule:

May 2009 Release of data
June 2009 Submission of runs
July 2009 Evaluation
August 2009 Working notes paper

CLEF Workshop - September 30 - October 2, 2009
VideoCLEF participants are expected to attend the CLEF workshop, planned
in collocation with ECDL 2009 in Corfu, Greece

Participants in VideoCLEF are required to register with CLEF. Please
register for CLEF 2009 at http://www.clef-campaign.org/ by May 11, 2009.

VideoCLEF 2009 Organizing Committee
Martha Larson, Delft University of Technology, The Netherlands
Gareth Jones, Dublin City University, Ireland
Eamonn Newman, Dublin City University, Ireland

VideoCLEF 2009 website:
http://www.cdvp.dcu.ie/VideoCLEF