Categories |
![]()
MULTIMEDIA
![]()
VIDEO
![]()
COMPUTER VISION
![]()
MULTIMODAL INTERACTION
|
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:
|
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
|
Credits and Sources |
[1] DVU 2020 : 1st International Workshop on Deep Video Understanding |