使用交互式视频检索工具检索生活日志数据

Jakub Lokoč, Tomás Soucek, Gregor Kovalcík
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引用次数: 26

摘要

多模态生活日志数据中的已知项搜索是当前搜索引擎面临的一项具有挑战性的任务。由于时间上接近的图像序列代表了所提供数据的重要部分,因此在Lifelog搜索挑战中,在已知项目搜索任务中可能会遇到具有少量扩展的交互式视频检索工具。我们介绍了最近赢得2018年视频浏览器对决的SIRET交互式视频检索工具的更新。由于该工具依赖于基于帧的表示和检索模型,因此它也可以直接用于来自生活日志相机的图像。这些更新主要包括可视化和导航方法,用于表示重复的日常活动的大量视觉上相似的场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using an Interactive Video Retrieval Tool for LifeLog Data
Known-item search in multimodal lifelog data represents a challenging task for present search engines. Since sequences of temporally close images represent a significant part of the provided data, an interactive video retrieval tool with few extensions could be confronted at Lifelog Search Challenge in known-item search tasks. We present an update of the SIRET interactive video retrieval tool that recently won the Video Browser Showdown 2018. As the tool relies on frame-based representations and retrieval models, it can be directly used also for images from lifelog cameras. The updates comprise mostly visualization and navigation methods for a high number of visually similar scenes representing repetitive daily activities.
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