TRECVID: TREC Video Retrieval Evaluation

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2023 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
TRECVID 2022 The TREC Video Retrieval Evaluation
Dec 6, 2022 - Dec 9, 2022 Virtual - Hybrid Jun 1, 2022
TRECVID 2021 TREC Video Retrieval Evaluation
Dec 7, 2021 - Dec 10, 2021 Virtual Jun 1, 2021
TRECVID 2020 Trec Video Retrieval Evaluation
Nov 17, 2020 - Nov 19, 2020 Gaithersburg, MD, USA May 1, 2020
TRECVID 2019 TREC Video Retrieval Evaluation
Feb 11, 2019 - Nov 14, 2019 Gaithersburg, MD, USA Apr 1, 2019
TRECVID 2018 TREC Video Retrieval Evaluation
Nov 13, 2018 - Nov 15, 2018 Gaithersburg, MD Apr 2, 2018
TRECVID 2017 The 17th annual TREC Video Retrieval Evaluation: TRECVID 2017 workshop
Nov 13, 2017 - Nov 15, 2017 Gaithersburg, MD Apr 3, 2017
 
 

Present CFP : 2022

TRECVID is the premier annual international workshop event for evaluating content-based retrieval of multimedia and digital video. The workshop organizes a set of different tracks by providing data, task definition, metrics, and evaluation protocols to participants. During the workshop, participants submit notebook papers, discuss results, and benefit from sharing their experiences about which methods work and what does not work and why?!

With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

Responses to the call for participation are requested by June 1. All registered teams will be added to a slack workspace by March 1, and all task guidelines will be finalized by April 1.

A tentative schedule is available from the main website:
https://www-nlpir.nist.gov/projects/tv2022/schedule.html

TRECVID ends with a workshop in December 2022 where all teams come together to discuss their approaches in the different tasks and plan for the next year evaluation.

We look forward to welcome you again as well as new teams and members!

This year TRECVID is running 6 challenge tasks:

1- Ad-hoc Video Search - Given a text query, return the relevant set of videos.

2- Deep Video Understanding - Answer questions about movies

3- Video to Text - Generate a text caption describing a short (max 10 sec) video.

4- Movie Summarization - Summarize the main events of movie characters by textual and visual summaries.

5- Disaster Scene Description and Indexing - Classify scenes after natural disaster events using predefined labels.

6- Activities in Extended Videos - Activity detection from long videos including human and/or object activities from surveillance cameras.


Call for participation is now available:
http://www-nlpir.nist.gov/projects/tv2022/tv22.call.html

Draft version of the TRECVID 2022 tasks guidelines:
http://www-nlpir.nist.gov/projects/tv2022/index.html


References:
Previous year's proceedings : https://trecvid.nist.gov/tv.pubs.org.html

Data and Resources created : https://trecvid.nist.gov/trecvid.data.html

The Scholarly Impact of TRECVid (2003-2009)
http://onlinelibrary.wiley.com/doi/10.1002/asi.21494/full
 

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