International Workshop on Deep Video Understanding Call for Papers

1st Call for Participation :  
International Workshop on Deep Video Understanding
In conjunction with ICMI 2020 , October 25-29, 2020

Deep video understanding is a difficult task which requires systems to
develop a deep analysis and understanding of the relationships between
different entities in video, to use known information to reason about
other, more hidden information, and to populate a knowledge graph (KG)
with all acquired information. To work on this task, a system should
take into consideration all available modalities (speech, image/video,
and in some cases text). The aim of this workshop is to push the
limits of multi-modal extraction, fusion, and analysis techniques to
address the problem of analyzing long duration videos holistically and
extracting useful knowledge to utilize it in solving different types
of queries. The target knowledge includes both visual and non-visual
elements. As videos and multimedia data are getting more and more
popular and usable by users in different domains, the research,
approaches and techniques we aim to be applied in this workshop will
be very relevant in the coming years and near future.

This workshop will support two tracks of research contributions:

1. Track 1: Interested authors are invited to apply their approaches
and methods on a novel High-Level Video Understanding (HLVU) dataset
being made available by the workshop organizers. These include 10
movies with a Creative Commons license. This dataset will be annotated
by human assessors and ground truth (Ontology of relations, entities,
actions & events, names and images of all main characters, Knowledge
Graph for 50% of the movies) provided to participating
researchers. The organizers will also support evaluation and scoring
of two main query types distributed with the dataset:

-Multiple choice question answering on part of Knowledge Graph for
selected movies.

-Possible path analysis between persons / entities of interest in a
Knowledge Graph extracted from selected movies.

2. Track 2: Contributions related (but not limited) to the following topics applied on the provided HLVU dataset or any external datasets are invited:

Multimodal feature extraction for movies and extended video
Multimodal fusion of computer vision, text/language processing and audio for extended video / movie analysis
Machine Learning methods for movie-based multimodal interaction
Sentiment analysis and multimodal dialogue modeling for movies
Knowledge Graph generation, analysis, and extraction for movies and extended videos

Submission :

We invite submissions of long papers (up to 8 pages excluding
references), short papers (up to 4 pages excluding references), and
extended abstracts (up to 1 page excluding references), formatted
according to the ACM template available here
or directly from Overleaf
( Submissions
shall be single blind, i.e. do not need to be anonymized. Workshop
papers will be indexed by ACM Digital Library in an adjunct

Papers submitted at ICMI 2020 must not have been published
previously. A paper is considered to have been published previously if
it has appeared in a peer-reviewed journal, magazine, book, or meeting
proceedings that is reliably and permanently available afterward in
print or electronic form to non-attendees, regardless of the language
of that publication. A paper substantially similar in content to one
submitted to ICMI 2020 should not be simultaneously under
consideration for another conference or workshop.

ICMI 2020 does not consider a paper on as a dual submission.

All submissions will be handled electronically via EasyChair :

Important Dates:

HLVU movie dataset available including preliminary annotations: March 31, 2020
Complete HLVU annotations and development data available: April 24, 2020 *
Testing queries released: May 29, 2020 *
Run submissions due to organizers: June 29, 2020 *
Results released back to participants: July 13, 2020 *
Workshop paper submission deadline: July 31, 2020
Notification to authors: August 10, 2020
Workshop camera-ready submission: August 17, 2020
Workshop date: October 25 or 29, 2020

* = Track 1 only