深度视频理解国际研讨会

Keith Curtis, G. Awad, Shahzad Rajput, I. Soboroff
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引用次数: 2

摘要

这是在第22届ACM多模态交互国际会议上组织的深度视频理解国际研讨会的介绍论文。近年来,在更深层次上理解视频(尤其是电影)的趋势日益增长,这促使多媒体和计算机视觉领域的研究人员提出新的方法和数据集来解决这个问题。这是一个具有挑战性的研究领域,旨在深入理解电影中不同个体和实体之间存在的关系,使用所有可用的模式,如视频、音频、文本和元数据。本次研讨会的目的是促进这一新方向的创新研究,并为深度视频理解领域的技术进步提供基准评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
International Workshop on Deep Video Understanding
This is the introduction paper to the International Workshop on Deep Video Understanding, organized at the 22nd ACM Interational Conference on Multimodal Interaction. In recent years, a growing trend towards working on understanding videos (in particular movies) to a deeper level started to motivate researchers working in multimedia and computer vision to present new approaches and datasets to tackle this problem. This is a challenging research area which aims to develop a deep understanding of the relations which exist between different individuals and entities in movies using all available modalities such as video, audio, text and metadata. The aim of this workshop is to foster innovative research in this new direction and to provide benchmarking evaluations to advance technologies in the deep video understanding community.
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