Summary

This 2023 proceedings paper details MEVID, a novel multi-view extended videos for video person re-identification. The study introduces a significant evolution of MEVA data by combining its original MEVA dataset with newly generated MEVA datasets. Researchers Daniel Davila, Dawei Du, and Bryon Lewis have contributed these specific MEVA files to enhance the dataset's capability. The work builds upon the foundational MEVA repository, which serves as a growing collection of metadata and annotations. By enriching the available datasets, the authors aim to improve the robustness and performance of their identification models.

Title

Mevadata

Description

Mevadata

Keywords

data, video, annotations, videos, annotation, activity, here, camera, view, person, identification, activities, support, identities, ground, clips, hours

NS Lookup

A 185.199.111.153, A 185.199.108.153, A 185.199.110.153, A 185.199.109.153

Dates

Created 2026-04-14

Updated 2026-04-14

Summarized 2026-05-01