Name: Video Cataloguing: Structure Parsing and Content Extraction (en Inglés)
Price: 471.12 PEN
Availability: InStock
Author: Gao, Guangyu ; Liu, Chi Harold
ISBN: 9781482235777

portada Video Cataloguing: Structure Parsing and Content Extraction (en Inglés)

Formato

Libro Físico

Autor

Chi Harold Liu

Guangyu Gao

Editorial

CRC Press

Idioma

Inglés

N° páginas

176

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.7 x 1.5 cm

Peso

0.41 kg.

ISBN13

9781482235777

N° edición

Categorías

Sistemas y tecnología de captación de imágenes
Data mining: minería de datos
Teoría matemática de la computación
Machine learning: aprendizaje automático

Video Cataloguing: Structure Parsing and Content Extraction (en Inglés)

Chi Harold Liu (Autor) · Guangyu Gao (Autor) · CRC Press · Tapa Dura

Libro Físico

S/ 471,12

S/ 942,24

Ahorras: S/ 471,12

50% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Video Cataloguing: Structure Parsing and Content Extraction (en Inglés)"

The arrival of the digital age has created the need to be able to store, manage, and digitally use an ever-increasing amount of video and audio material. Thus, video cataloguing has emerged as a requirement of the times. Video Cataloguing: Structure Parsing and Content Extraction explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data. This book addresses the issues of video cataloguing, including video structure parsing and basic semantic word extraction, particularly for movie and teleplay videos. It starts by providing readers with a fundamental understanding of video structure parsing. It examines video shot boundary detection, recent research on video scene detection, and basic ideas for semantic word extraction, including video text recognition, scene recognition, and character identification. The book lists and introduces some of the most commonly used features in video analysis. It introduces and analyzes the most popular shot boundary detection methods and also presents recent research on movie scene detection as another important and critical step for video cataloguing, video indexing, and retrieval. The authors propose a robust movie scene recognition approach based on a panoramic frame and representative feature patch. They describe how to recognize characters in movies and TV series accurately and efficiently as well as how to use these character names as cataloguing items for an intelligent catalogue. The book proposes an interesting application of highlight extraction in basketball videos and concludes by demonstrating how to design and implement a prototype system of automatic movie and teleplay cataloguing (AMTC) based on the approaches introduced in the book.