TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search Retrieval

by   George Awad, et al.

The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in research and development of content-based exploitation and retrieval of information from digital video via open, metrics-based evaluation. Over the last nineteen years this effort has yielded a better understanding of how systems can effectively accomplish such processing and how one can reliably benchmark their performance. TRECVID has been funded by NIST (National Institute of Standards and Technology) and other US government agencies. In addition, many organizations and individuals worldwide contribute significant time and effort. TRECVID 2019 represented a continuation of four tasks from TRECVID 2018. In total, 27 teams from various research organizations worldwide completed one or more of the following four tasks: 1. Ad-hoc Video Search (AVS) 2. Instance Search (INS) 3. Activities in Extended Video (ActEV) 4. Video to Text Description (VTT) This paper is an introduction to the evaluation framework, tasks, data, and measures used in the workshop.


page 11

page 17

page 19

page 25

page 27

page 33

page 34

page 35


TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video anal...

An overview on the evaluated video retrieval tasks at TRECVID 2022

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video anal...

University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video

In this paper, we summarize our TRECVID 2017 video recognition and retri...

Models See Hallucinations: Evaluating the Factuality in Video Captioning

Video captioning aims to describe events in a video with natural languag...

Dual Dense Encoding for Zero-Example Video Retrieval

This paper attacks the challenging problem of zero-example video retriev...

The Use of Video Captioning for Fostering Physical Activity

Video Captioning is considered to be one of the most challenging problem...

Insights on the V3C2 Dataset

For research results to be comparable, it is important to have common da...

Please sign up or login with your details

Forgot password? Click here to reset