EQUI-VOCAL演示:从用户交互中合成视频查询

IF 2.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Proceedings of the Vldb Endowment Pub Date : 2023-08-01 DOI:10.14778/3611540.3611600

Enhao Zhang, Maureen Daum, Dong He, Manasi Ganti, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska

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引用次数: 0

摘要

我们演示了EQUI-VOCAL，这是一个从用户反馈中合成视频合成查询的系统。EQUI-VOCAL使用户能够通过提供他们正在寻找的一些积极和消极的例子并标记少量额外的系统选择的例子来查询复杂事件的视频数据库。使用这些用户输入，EQUI-VOCAL合成声明性查询，然后检索所需事件的其他实例。该演示有两个贡献:它介绍了EQUI-VOCAL的图形用户界面，并使会议与会者能够在各种查询上试用EQUI-VOCAL。两者都使用户能够更好地理解EQUI-VOCAL的查询合成方法，并探索超参数和标签噪声对系统性能的影响。

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EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions

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.

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来源期刊

Proceedings of the Vldb Endowment Computer Science-General Computer Science

CiteScore

7.70

自引率

0.00%

发文量

期刊介绍： The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.