English | 4 Nov. 2015 | ISBN: 1482235773 | 176 Pages | AZW4/PDF (True) | 27.42 MB
The arrival of the digital age has created the need to be able to store, manage, & digitally use an ever-increasing amount of video & audio material. Thus, video cataloguing has emerged as a requirement of the times.
Video Cataloguing: Structure Parsing & 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 h&ling large-scale video data.
This book addresses the issues of video cataloguing, including video structure parsing & basic semantic word extraction, particularly for movie & teleplay videos. It starts by providing readers with a fundamental underst&ing of video structure parsing. It examines video shot boundary detection, recent research on video scene detection, & basic ideas for semantic word extraction, including video text recognition, scene recognition, & character identification.
The book lists & introduces some of the most commonly used features in video analysis. It introduces & analyzes the most popular shot boundary detection methods & also presents recent research on movie scene detection as another important & critical step for video cataloguing, video indexing, & retrieval.
The authors propose a robust movie scene recognition approach based on a panoramic frame & representative feature patch. They describe how to recognize characters in movies & TV series accurately & 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 & concludes by demonstrating how to design & implement a prototype system of automatic movie & teleplay cataloguing (AMTC) based on the approaches introduced in the book.