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Methods for Data Representation

In: Multimodal Affective Computing

Author

Listed:
  • Ramón Zatarain Cabada

    (Instituto Tecnológico de Culiacán)

  • Héctor Manuel Cárdenas López

    (Instituto Tecnológico de Culiacán)

  • Hugo Jair Escalante

    (Instituto Nacional de Astrofísica)

Abstract

This chapter provides an overview of the preprocessing techniques for preparing data for personality recognition. It begins with explaining adaptations required for handling large datasets that cannot be loaded into memory. The chapter then focuses on image preprocessing techniques in videos, including face delineation, obturation, and various techniques applied to video images. The chapter also discusses sound preprocessing, such as common sound representation techniques, spectral coefficients, prosody, and intonation. Finally, Mel spectral and delta Mel spectral coefficients are discussed as sound representation techniques for personality recognition. The primary aim of this chapter is to help readers understand different video processing techniques that can be used in data representation for personality recognition.

Suggested Citation

  • Ramón Zatarain Cabada & Héctor Manuel Cárdenas López & Hugo Jair Escalante, 2023. "Methods for Data Representation," Springer Books, in: Multimodal Affective Computing, chapter 0, pages 159-165, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-32542-7_13
    DOI: 10.1007/978-3-031-32542-7_13
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