학술논문

Automated Navigation System for News Videos: A Survey
Document Type
Conference
Source
2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET) Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), 2023 International Conference on. :428-435 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Surveys
Technological innovation
Filtering
Semantics
Speech recognition
Feature extraction
Video signal processing
Commercial Filtering
Story Segmentation
News Videos
Speech Recognition
Video Processing
Language
Abstract
News videos are a valuable tool for disseminating information. However, the number of newscasts every day on a single channel is enormous, and when multiplied by the number of news channels, the volume of information transmitted each day is enormous. In such instances, sorting news videos is critical for creating a well-organized database of news videos. Topics like Video Segmentation, Video Indexing, and Retrieval of the specific news from the news videos are the trending topics and points of interest for researchers from all over the world as these topics have various applications. This paper discusses segmentation of videos, as well as indexing and retrieval strategies of the videos, focusing on some of the methods for structure analysis of videos, such as SBD (Shot Boundary Detection), scene segmentation, story segmentation, key frame extraction, commercial filtering, and speech recognition. Finally, we look at potential research directions in the future.