Abstract

Media is created by humans for humans to tell stories. There exists a natural and imminent need for creating human-centered media analytics to illuminate the stories being told and to understand their impact on individuals and society at large. An objective understanding of media content has numerous applications for different stakeholders, from creators to decision-/policy-makers to consumers. Advances in multimodal signal processing and machine learning (ML) can enable detailed and nuanced characterization of media content (of who, what, how, where, and why) at scale. They can also aid our understanding of the impact of media on a range of issues, including individual experiences, behavioral, cultural, and societal trends, and commercial outcomes. Modern deep learning models combined with audiovisual signal processing can analyze entertainment media, such as Film & TV content to quantify gender …

Date

January 11, 2021

Authors

Krishna Somandepalli, Tanaya Guha, Victor R Martinez, Naveen Kumar, Hartwig Adam, Shrikanth Narayanan

Source

Proceedings of the IEEE

Volume

109

Issue

5

Pages

891-910

Publisher

IEEE