Automatic Categorization of Shots in News Videos Based on the Temporal Relations

Choroś, Kazimierz

doi:10.1007/978-3-319-24306-1_2

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Intensive research efforts were directed to content-based video indexing (Hu et al 2011;Choroś, 2015b). The video documents are habitually incorporated in large TV streams.…”

Section: Related Workmentioning

confidence: 99%

“…The authors used a split-and-merge mechanism to detect topic limits. Similarly, Choroś (2015aChoroś ( , 2015b examines the usefulness of the temporal aggregation method to select report shots and non-report ones in news videos. The work of Dunker et al (2008) provides information to the user according to its specific profile.…”

Section: Related Workmentioning

confidence: 99%

“…Indeed, a thorough study of the state of the art shows that the proposed works are divided into two classes. The works of the first class are interested in locating programs in TV stream (Hu et al, 2011;Manson et al, 2009;Choroś, 2015b). While the works of Abduraman et al (2011), Goyal et al (2009), Misra et al (2010), Fan et al (2014), Younessian and Rajan (2015) of the second one carry out the internal structuring of TV programs.…”

Section: Introductionmentioning

confidence: 99%

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Navigating News Programs in Large TV-Streams

Mahdi

Zlitni

2016

International Journal of Knowledge Society Research

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The different uses of large TV streams have continued to diversify since the appearance of digital TV. For conveniently retrieving and navigating in TV streams, users are often interested in new content-based multimedia applications of high added value such as Interactive TV, Video on Demand (VoD), YouTube or Dailymotion. These applications offer fast and easy access to best explore a particular TV program. So, the automatic process of TV program identification and their internal segmentation facilitate the availability of these programs. Therefore, it is necessary at first, to be able to retrieve a particular program within a large TV stream and secondly segment this program into semantic units related to appropriate retrieval entities. In this paper, the major originality of the authors' approach is the use of contextual and operational characteristics of TV production/post-production rules as prior knowledge that captures the structure for recurrent TV news program content. The authors validate their approach by experiments conducted using the TRECVID dataset that demonstrate its robustness.

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“…Intensive research efforts were directed to content-based video indexing (Hu et al 2011;Choroś, 2015b). The video documents are habitually incorporated in large TV streams.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Navigating News Programs in Large TV-Streams

Mahdi

Zlitni

2016

International Journal of Knowledge Society Research

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Probabilistic Approach to Content-Based Indexing and Categorization of Temporally Aggregated Shots in News Videos

Choroś

2016

Intelligent Information and Database Systems

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Extraction and Annotation of News Topics From TV Streams for Web Video Sharing

Zlitni

Mahdi

2019

Knowledge-Intensive Economies and Opportunities for Social, Organizational, and Technological Growth

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Today, with increased internet access, users are often interested in new content-based multimedia applications of high added value such as interactive TV, video on demand (VoD), and catch-up TV services such as YouTube or Dailymotion frameworks. Despite the easy and rapid access to media information of these services, they present the risk of the wide propagation of fake news. As a solution, the authors propose that the input for these services must be from a trustworthy traditional media, precisely TV program content. So, the automatic process of TV program identification and their internal segmentation facilitate the availability of these programs. In this chapter, the major originality of the authors' approach is the use of contextual and operational characteristics of TV production rules as prior knowledge that captures the structure for recurrent TV news program content. The authors validate their approach by experiments conducted using the TRECVID dataset that demonstrate its robustness.

show abstract

Automatic Categorization of Shots in News Videos Based on the Temporal Relations

Cited by 3 publications

References 21 publications

Navigating News Programs in Large TV-Streams

Navigating News Programs in Large TV-Streams

Probabilistic Approach to Content-Based Indexing and Categorization of Temporally Aggregated Shots in News Videos

Extraction and Annotation of News Topics From TV Streams for Web Video Sharing

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