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People capture photos and videos to relive and share memories of personalsignificance. Recently, media montages (stories) have become a popular mode ofsharing these memories due to their intuitive and powerful storytellingcapabilities. However, creating such montages usually involves a lot of manualsearches, clicks, and selections that are time-consuming and cumbersome,adversely affecting user experiences.  To alleviate this, we propose task-oriented dialogs for montage creation as anovel interactive tool to seamlessly search, compile, and edit montages from amedia collection. To the best of our knowledge, our work is the first toleverage multi-turn conversations for such a challenging application, extendingthe previous literature studying simple media retrieval tasks. We collect a newdataset C3 (Conversational Content Creation), comprising 10k dialogsconditioned on media montages simulated from a large media collection.  We take a simulate-and-paraphrase approach to collect these dialogs to beboth cost and time efficient, while drawing from natural language distribution.Our analysis and benchmarking of state-of-the-art language models showcase themultimodal challenges present in the dataset. Lastly, we present a real-worldmobile demo application that shows the feasibility of the proposed work inreal-world applications. Our code and data will be made publicly available.

Tell Your Story: Task-Oriented Dialogs for Interactive Content Creation