lifeelog搜索挑战2021:语义分类器之间的关系

O. Khan, Aaron Duane, B. Jónsson, Jan Zahálka, S. Rudinac, M. Worring
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引用次数: 16

摘要

Exquisitor是一个基于交互式学习的可扩展媒体探索系统。为了满足用户的信息需求,系统要求用户提供关于媒体项目的反馈,并使用该反馈交互式地构建一个分类器,该分类器反过来用于识别下一个可能相关的媒体项目集。为了促进对集合的有效探索,系统提供了过滤器来缩小探索范围,搜索功能为分类器找到好的例子,并支持视频或图像序列的时间轴浏览。在今年的Lifelog搜索挑战赛中,我们增强了Exquisitor,通过添加允许用户使用传统的集合运算符和高级时间运算符构建多个分类器并合并分类器结果的功能,从而更好地支持带有时间组件的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in turn used to identify the next potentially relevant set of media items. To facilitate effective exploration of a collection, the system offers filters to narrow the scope of exploration, search functionality for finding good examples for the classifier, and support for timeline browsing of videos or image sequences. For this year's Lifelog Search Challenge, we have enhanced Exquisitor to better support tasks with a temporal component, by adding features that allow the user to build multiple classifiers and merge the classifier results, using both traditional set operators and advanced temporal operators.
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