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Relying on news shot boundary detection algorithm, key frame extraction method and other technologies, a hierarchical news video semantic index structure is proposed, and a retrieval and analysis system model based on news video semantics is constructed, ...

This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. In fact, embedded texts in videos represent a rich source of information for indexing and automatically annotating multimedia documents. However, ...

Archiving news videos is important since they accumulate valuable real-world information. When exploiting them, it is important to track the flow of news topics to understand them thoroughly. In order to do so, a method that structures the chronological ...

As one tool for structuring a massive volume of archived news videos based on their semantic contents, this paper proposes a method to detect scene duplicates from news videos. A scene duplicate is a pair of video segments taken at the same event from ...

We present a multimodal sentiment study performed on a novel collection of videos mined from broadcast and cable television news programs. To the best of our knowledge, this is the first dataset released for studying sentiment in the domain of broadcast ...

Wikipedia is a famous online encyclopedia. However most Wikipedia entries are mainly explained by text, so it will be very informative to enhance the contents with multimedia information such as videos. Thus we are working on a method to extend ...

Personalisation tasks require the use of semantic information, extracted from multimedia streams, in order to achieve the benefits of automatic matching user preferences with multimedia content meaning. Text-based classification techniques may be used ...

Really Simple Syndication (RSS) technology makes it for users possible to keep track of updated news. Podcasting is the technology based on RSS aims to aggregate multimedia files. For desktop users, viewing redundant RSS news video might not be a ...

We introduce a video browsing interface 'mediaWalker' that lets users explore a news video archive based on a time-series semantic structure; the 'topic thread' structure. The interface lets users efficiently track up and down the development of news in ...

We describe 3WNews as a novel system for browsing news video by the people (who) and locations (where) appearing in the footage as well as the time (when) of news events. The people names, locations, and time expressions are recognized from video ...

This study presents an efficient news video querying and browsing system based on distributed news video servers. The proposed architecture includes distributed news video preprocessing (NVP) server and visualized querying/browsing (VQB) server. The ...

Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on labeling training data. In this paper, we investigate a more challenging ...

The segmentation of news video into story units is an important step towards effective processing and management of large news video archives. In the story segmentation task in TRECVID 2003, a wide variety of techniques were employed by many research ...

We introduce a method to extract topic threads throughout a large-scale news video corpus as well as an interface that provides the users with the facility to browse through the corpus guided by the thread structure. The thread-based interface enables ...