Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  aim at automatically labeling actors in a TV series. Rather than relying on transcripts and subtitles, as has been demonstrated in the past,  show how to achieve this goal starting from a set of example images of each of the main actors involved, collected from the Internet Movie Database (IMDB). The problem then becomes one of domain adaptation: actors' IMDB photos are typically taken at awards ceremonies and are quite different from their appearances in TV series. In each series as ll, there is considerable change in actor appearance due to makeup, lighting, ageing, etc. To bridge this gap,  propose a graph-matching based self-labelling algorithm, which  coin HSL (Hungarian Self Labeling). Further,  propose a new edge cost to be used in this context, as ll as an extension that is more robust to outliers, where prototypical faces for each of the actors are selected based on a hierarchical clustering procedure.  conduct experiments with 15 episodes from 3 different TV series and demonstrate automatic annotation with an accuracy of 90% and up.
['Rahaf Aljundi', 'Punarjay Chakravarty', 'Tinne Tuytelaars']
I am writing a research paper on a idea Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images
[{"from": "human", "value": "I am writing a research paper on a idea Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  aim at automatically labeling actors in a TV series. Rather than relying on transcripts and subtitles, as has been demonstrated in the past,  show how to achieve this goal starting from a set of example images of each of the main actors involved, collected from the Internet Movie Database (IMDB). The problem then becomes one of domain adaptation: actors' IMDB photos are typically taken at awards ceremonies and are quite different from their appearances in TV series. In each series as ll, there is considerable change in actor appearance due to makeup, lighting, ageing, etc. To bridge this gap,  propose a graph-matching based self-labelling algorithm, which  coin HSL (Hungarian Self Labeling). Further,  propose a new edge cost to be used in this context, as ll as an extension that is more robust to outliers, where prototypical faces for each of the actors are selected based on a hierarchical clustering procedure.  conduct experiments with 15 episodes from 3 different TV series and demonstrate automatic annotation with an accuracy of 90% and up."}]