EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions-Reference-Cited by-同舟云学术

EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions

Published:2023-08 Issue:12 Volume:16 Page:3978-3981
ISSN:2150-8097
Container-title:Proceedings of the VLDB Endowment
language:en
Short-container-title:Proc. VLDB Endow.

Author:

Zhang Enhao¹,Daum Maureen¹,He Dong¹,Ganti Manasi¹,Haynes Brandon²,Krishna Ranjay¹,Balazinska Magdalena¹

Affiliation:

1. University of Washington

2. Microsoft Gray Systems Lab

Abstract

We demonstrate EQUI-VOCAL, a system that synthesizes compositional queries over videos from user feedback. EQUI-VOCAL enables users to query a video database for complex events by providing a few positive and negative examples of what they are looking for and labeling a small number of additional system-selected examples. Using those user inputs, EQUI-VOCAL synthesizes declarative queries that can then retrieve additional instances of the desired events. The demonstration makes two contributions: it introduces EQUI-VOCAL's graphical user interface and enables conference attendees to experiment with EQUI-VOCAL on a variety of queries. Both enable users to gain a better understanding of EQUI-VOCAL's query synthesis approach and to explore the impact of hyperparameters and label noise on system performance.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Link

https://dl.acm.org/doi/pdf/10.14778/3611540.3611600

Reference13 articles.

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