Multimodal Video Retrieval with the 2017 IMOTION System

Luca Rossetto, Ivan Giangreco, Claudiu Tanase, H. Schuldt
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引用次数: 9

Abstract

The IMOTION system is a multimodal content-based video search and browsing application offering a rich set of query modes on the basis of a broad range of different features. It is able to scale with the size of the collection due to its underlying flexible polystore called ADAMpro and its very effective retrieval engine Cineast, optimized for multi-feature fusion. IMOTION is simultaneously geared towards precision-focused searches, i.e., known-item search with image or text queries, and recall-focused, exploratory searches. In this demo, we will present the 2017 IMOTION system deployed on the IACC.3 collection consisting of 600 hours of Internet Archive video, which was also used in the TRECVID 2016 Ad-Hoc Video Search and in the 2017 Video Browser Showdown (VBS) challenge in which IMOTION ranked first. Conference attendees will have the chance to interact with the 2017 IMOTION system and quickly solve various retrieval tasks.
基于2017 IMOTION系统的多模态视频检索
IMOTION系统是一个基于内容的多模式视频搜索和浏览应用程序,在广泛的不同功能的基础上提供了一套丰富的查询模式。由于其底层灵活的polystore(称为ADAMpro)和非常有效的检索引擎Cineast(针对多特征融合进行了优化),它能够根据集合的大小进行缩放。IMOTION同时面向以精确为中心的搜索,即,带有图像或文本查询的已知项目搜索,以及以回忆为中心的探索性搜索。在本演示中,我们将展示部署在IACC.3集合上的2017年IMOTION系统,该集合由600小时的互联网存档视频组成,该系统也用于TRECVID 2016 Ad-Hoc视频搜索和2017年视频浏览器对决(VBS)挑战,其中IMOTION排名第一。与会者将有机会与2017年IMOTION系统互动,快速解决各种检索任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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