Emotion classification in images using Amazon's Rekognition API.

Format:

Video

Contributor:

Bossetta, Michael, academic.

Language:

English

Subjects (All):

Image analysis--Computer programs.

Image analysis.

Gesture recognition (Computer science).

Human face recognition (Computer science).

Physical Description:

1 online resource (1 video file (00:30:53)) : sound, colour

Place of Publication:

London : SAGE Publications, Ltd., 2022.

Language Note:

Closed-captioned in English.

Summary:

Michael Bossetta, PhD, assistant professor of Communication and Media at Lund University, discusses and demonstrates emotion classification in images with Amazon's Rekognition API using the Pykognition tool, including how to install, how the script works, how confidence thresholds work, validation, and limitations.

Contents:

Chapter 1: Michael Bossetta Discusses Image Analysis, Emotion Research, and Facial Action Codingicon angle down

Chapter 2: Michael Bossetta Provides an Overview of Amazon's Recognition API and the Pykognition Toolicon angle down

Chapter 3: Michael Bossetta Demonstrates How to Install the Pykognition Toolicon angle down

Chapter 4: Michael Bossetta Explains the Script to Run Rekognition and Pykognitionicon angle down

Chapter 5: Michael Bossetta Demonstrates Working With Images and Confidence Thresholds Using Pykognition and Rekognition Softwareicon angle down

Chapter 6: Michael Bossetta Discusses the Pykognition Tool Spreadsheeticon angle down

Chapter 7: Michael Bossetta Discusses Validation and Limitations of the Pykognition Tool and the Rekognition API for Emotion Classification in Images.

Participant:

Academic, Michael Bossetta PhD.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

1-5296-0441-9

9781529604412

OCLC:

1335036895