This paper presents one of the rst investigations of the use of Hidden Markov Models (HMMs) for content-based video indexing. A real-time video indexing system for TV news is described, which is able to distinguish between six diierent classes. The huge potential of these methods for video indexing of movies and TV shows is demonstrated by presenting the rst very promising results.

Objectives: This study is about the realization of critical discourse analysis on TV talkshows’ headlines corona delta variant. Methods: The data was gathered by collecting 31 headline news stories Corona from three channels: Metro TV, One, and Kompas TV. Result: result showed that at level micro, linguistic features used channels were dominated expressing declarative ideas. On macro, facts as ...

The article analyzes the changes that since the mid-1990s have transformed journalistic practices in Brazil's most powerful media institution. More especially, the aim is to investigate the transformation of TV Globo's News Division and situate this process in relation to the democratization of Brazilian politics and society. Based on content analysis of Jornal Nacional, TV Globo's main newscas...

This paper explores the impact of light filtering on automatic key phrase extraction (AKE) applied to Broadcast News (BN). Key phrases are words and expressions that best characterize the content of a document. Key phrases are often used to index the document or as features in further processing. This makes improvements in AKE accuracy particularly important. We hypothesized that filtering out ...

This paper presents a facial modeling approach for automating the head-and-shoulder image sequence generation for digital TV news video clips production which is the most expensive part in terms of manpower and cost. With the IPA phonetics transcribed from news script being the driving parameter, the high precise adapted 2-D wireframe model on a frontal view of speaker image with sufficient fac...

News of Science Insect Hosts of Plant Viruses; New Technique for Machining Tungsten; Timber Outlook; Korean Mineral Assay Laboratory; Acetoglyceride Process Patented; Peabody Museum Expedition; Messages by Meteor Trails; Tranquilizing Drugs and Behavioral Disorders; Irrigation and Power in Australia; Scientists on TV; Laboratory for Gulf Fisheries; Irregular Milking Schedule; Medical Reactor; F...

This paper proposes a new way to integrate semantic relations into a topic segmentation process by defining the notion of semantic cohesion. In the context of a sliding window based automatic topic segmentation algorithm, semantic relations are incorporated in the similarity measure between adjacent blocs. Additionaly, in the context of TV Brodcast News topic segmentation, we propose a new prot...