17 citations · 21 across the 4 of their papers we have counts for
4 papers · 1 filter
Trailer Reimagined: An Innovative, Llm-DRiven, Expressive Automated Movie Summary framework (TRAILDREAMS)
Roberto Balestri, Pasquale Cascarano, Mirko Degli Esposti +1
This paper introduces TRAILDREAMS, a framework that uses a large language model (LLM) to automate the production of movie trailers. The purpose of LLM is to select key visual seque…
An Automatic Deep Learning Approach for Trailer Generation through Large Language Models
Roberto Balestri, Pasquale Cascarano, Mirko Degli Esposti +1
Trailers are short promotional videos designed to provide audiences with a glimpse of a movie. The process of creating a trailer typically involves selecting key scenes, dialogues…
AI Blob! LLM-Driven Recontextualization of Italian Television Archives
Roberto Balestri
This paper introduces AI Blob!, an experimental system designed to explore the potential of semantic cataloging and Large Language Models (LLMs) for the retrieval and recontextuali…
Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV
Roberto Balestri, Guglielmo Pescatore
Serialized television narratives present significant analytical challenges due to their complex, temporally distributed storylines that necessitate sophisticated information manage…