A human-machine collaborative video summarization framework using pupillary response signals

Abstract excerpt

This paper proposes a novel, human-machine collaborative, pupillary response-based video summarization framework. Considering that humans are the end-users and evaluators of video content, it is natural to establish the links between video features and real-time viewers’ attentive response for designing a video summarization framework. In this paper, pupil size, a pupillary response, is introduced as a real-time i...

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• Algorithms
• Mutation
• Natural Language Processing

Identifiers and source

Literature Corpus work

8ed169d6-414c-5e30-97fa-c68d75dad453

DOI

10.21203/rs.3.rs-1768659/v1