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DVU 2020 : 1st International Workshop on Deep Video Understanding
DVU 2020 : 1st International Workshop on Deep Video Understanding

DVU 2020 : 1st International Workshop on Deep Video Understanding

The Netherlands
Event Date: October 25, 2020 - October 29, 2020
Submission Deadline: July 31, 2020
Notification of Acceptance: August 10, 2020
Camera Ready Version Due: August 17, 2020




About

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 multimodal extraction, fusion, and analysis techniques to address the problem of analysing 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.


Call for Papers

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.
  1. 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


Summary

DVU 2020 : 1st International Workshop on Deep Video Understanding will take place in The Netherlands. It’s a 5 days event starting on Oct 25, 2020 (Sunday) and will be winded up on Oct 29, 2020 (Thursday).

DVU 2020 falls under the following areas: MULTIMEDIA, VIDEO, COMPUTER VISION, MULTIMODAL INTERACTION, etc. Submissions for this Workshop can be made by Jul 31, 2020. Authors can expect the result of submission by Aug 10, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Aug 17, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the DVU 2020

  • Short Name: DVU 2020
  • Full Name: 1st International Workshop on Deep Video Understanding
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of DVU 2020
  • Event Type: Workshop
  • Website Link: https://sites.google.com/view/dvu2020-workshop
  • Location/Address: The Netherlands


Credits and Sources

[1] DVU 2020 : 1st International Workshop on Deep Video Understanding


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