End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features

التفاصيل البيبلوغرافية
العنوان: End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features
المؤلفون: Hori, Chiori, Alamri, Huda, Wang, Jue, Wichern, Gordon, Hori, Takaaki, Cherian, Anoop, Marks, Tim K., Cartillier, Vincent, Lopes, Raphael Gontijo, Das, Abhishek, Essa, Irfan, Batra, Dhruv, Parikh, Devi
سنة النشر: 2018
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
الوصف: Dialog systems need to understand dynamic visual scenes in order to have conversations with users about the objects and events around them. Scene-aware dialog systems for real-world applications could be developed by integrating state-of-the-art technologies from multiple research areas, including: end-to-end dialog technologies, which generate system responses using models trained from dialog data; visual question answering (VQA) technologies, which answer questions about images using learned image features; and video description technologies, in which descriptions/captions are generated from videos using multimodal information. We introduce a new dataset of dialogs about videos of human behaviors. Each dialog is a typed conversation that consists of a sequence of 10 question-and-answer(QA) pairs between two Amazon Mechanical Turk (AMT) workers. In total, we collected dialogs on roughly 9,000 videos. Using this new dataset for Audio Visual Scene-aware dialog (AVSD), we trained an end-to-end conversation model that generates responses in a dialog about a video. Our experiments demonstrate that using multimodal features that were developed for multimodal attention-based video description enhances the quality of generated dialog about dynamic scenes (videos). Our dataset, model code and pretrained models will be publicly available for a new Video Scene-Aware Dialog challenge.
Comment: A prototype system for the Audio Visual Scene-aware Dialog (AVSD) at DSTC7
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/1806.08409
رقم الأكسشن: edsarx.1806.08409
قاعدة البيانات: arXiv