2nd International Workshop on Video Retrieval Methods and Their Limits Call for Papers

Call for Papers 

2nd International Workshop on Video Retrieval Methods and Their Limits

at ICCV 2021, October 2021, online


With the vastly increasing amount of video data being created,
searching in video is a common task in many application areas, such as
media and entertainment, surveillance or medicine. Video search is a
way to address a user's information need, that is expressed as a query
in textual or visual form, which is often only an approximation of the
required information. The proposed workshop is calling for
contributions in content-based video search using different types of
queries. Contributions may focus on search and retrieval methods,
evaluation and benchmarking approaches for video retrieval, and
technologies to understand how retrieval systems meet or fail to
address the information needs, such as explainability of components of
the retrieval system, active learning, etc. This workshop also
addresses a specific application area of the emerging topic of
fairness and explainability of AI, in particular related to
image/video analysis components.

Two possible types of queries may be:

- Natural language queries describing objects, actions, events,
etc. Systems need to be able to understand these textual queries and
retrieve videos within a database that satisfy these queries.

- Image/video queries can be used to find videos that contain similar
scenes to the given image/video.

In this context, contributions related (but not limited) to the
following topics are invited.

- Comparative analysis of performance of search systems on different

- Fusion of computer vision, text/language processing and audio
analysis for video search

- Evaluation protocols and metrics for assessing the impact of
specific components of retrieval systems

- Failure analysis of vision-based components in video search and
retrieval systems

- Failure analysis of query types, dataset characteristics, metrics,
and system architectures

- Integrating user interaction in search systems and their impact on

- Approaches for measuring and predicting hardness/complexity of
queries in a system-independent way

Interested authors are invited to apply their approaches and methods
on datasets prepared by the workshop organizers, or on any available
external datasets (there is no competition component to the workshop).

The datasets prepared by the workshop organizers include:

1. Internet archives collection (IACC.3), which contains 600 hours of
video, 90 ad-hoc queries and available ground truth.

2. BBC Eastenders dataset contains episodes of the weekly show over a
period of 5 years. This amounts to 464 hours of video, and has
available 230 instance search queries (visual examples of needed
results) and the ground truth.

3. The new V3C1 Vimeo internet collection contains 1000 hours of video
and is being used at the annual TRECVID international content-based
video retrieval evaluation benchmark and the video browser showdown
beginning in 2019. This dataset includes 50 textual queries and the
ground truth.

Failure analysis of system performance is highly encouraged and will
be given high priority with the goal to identify which methods work
and which don't, and why. Examples of such failure modes include, but
are not limited to: easy vs hard queries, dataset characteristics,
training data characteristics and its effect on solving easy/hard
queries, behaviour of machine-learning based components, system
architecture (e.g NN depth and attributes).


We invite papers of up to 4 pages length (excluding references, but
including figures), formatted according to the ICCV template
(http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip). Submissions
shall be single blind, i.e. do not need to be anonymized. The workshop
proceedings will be archived in the IEEE Xplore Digital Library and
the CVF Open Access.

By submitting a manuscript to ICCV, authors acknowledge that it has
not been previously published or accepted for publication in
substantially similar form in any peer-reviewed venue including
journal, conference or workshop. Furthermore, no publication
substantially similar in content has been or will be submitted to this
or another conference, workshop, or journal during the review
period. A publication, for the purposes of this policy, is defined to
be a written work longer than four pages (excluding references) that
was submitted for review by peers for either acceptance or rejection,
and, after review, was accepted. In particular, this definition of
publication does not depend upon whether such an accepted written work
appears in a formal proceedings or whether the organizers declare that
such work "counts as a publication".

All submissions will be handled electronically via EasyChair: 

Important Dates

Workshop paper submission : July 27, 2021

Notification to authors : August 10, 2021

Workshop camera-ready  : August 17, 2021

Workshop date: October, 2021 (during ICCV)