A novel multi-modal feature extraction system for news video

Ruiqi Xue

doi:10.1117/12.2686347

10 August 2023 A novel multi-modal feature extraction system for news video

Ruiqi Xue

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127593T (2023) https://doi.org/10.1117/12.2686347
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

Advancements in artificial intelligence technology are leading to significant transformations in the generation of news. This article presents the News Video Style Feature Automatic Extraction System (NVFAE), which leverages state-of-the- art open-source technologies such as Automatic Speech Recognition, Optical Character Recognition, and Natural Language Processing. The NVFAE extracts news video style features from multiple modalities: textual features, visual features, and delivery features. The system uses automated annotation to extract five distinct style features from news videos: high-frequency words, overall tense, video color tone, main character, and video length. 38 BBC videos about the topic of "Turkey earthquake" from the YouTube platform are chosen for testing NVFAE, whose five features can be all successfully extracted. Experimental results show that the system proposed in this paper can provide a digital and structured way to explore the narrative characteristics of news videos, only with a mouse click and style features of news videos can be obtained in batches. NVFAE is aimed to overcome the difficulties of manual annotation for video news, as well as supply news workers with valuable references to study the news styles and content planning.

Citation Download Citation

Ruiqi Xue "A novel multi-modal feature extraction system for news video", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127593T (10 August 2023); https://doi.org/10.1117/12.2686347

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video

Feature extraction

Video processing

Color tone

Visualization

RGB color model

Analytical research

Show All Keywords

Keywords/Phrases

Search In:

Publication Years