News videos anchor person detection by shot clustering

Ji, Ping; Cao, Liujuan; Zhang, Xiguang; Zhang, Longfei; Wu, W.

doi:10.1016/j.neucom.2013.06.003

Cited by 16 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Emphasis on Keywords: News anchors must be able to emphasize keywords in the news to highlight important information or certain aspects they want to convey to the audience (Ji, 2014).…”

Section: News Anchormentioning

confidence: 99%

Strategy for increasing Public Speaking skills through the News Anchor method

Anisa Sari,

Salsabela

2024

J. Commun.

View full text Add to dashboard Cite

Public speaking skills are a competitive value, which is useful, and they will become an important aspect for teenagers facing the competitive world of work in the future. The additional skills are communication skills, confidence, and learning skills that can be useful for developing soft skills using the news anchor method through the SMA Muhammadiyah 3 Yogyakarta literacy class. These skills are given to students in literacy classes. This activity aims to train public speaking skills and recognize one's potential by identifying rhetorical skills and confidence in appearing in public. This article aims to find strategies for improving public speaking skills through the news Anchor method with direct field studies from the author in the literacy class at SMA Muhammadiyah 3 Yogyakarta. This writing uses qualitative descriptive research methods based on Aristotle's Rhetorical Theory. The results of this research are that the application of this learning media provides benefits for students in developing communication skills, courage to speak, techniques for conveying news well, as well as providing experience as a news anchor as a whole, both in terms of attitudes, knowledge and complete skills. This learning is good for developing students at SMA Muhammadiyah 3 Yogyakarta and allowing them to face opportunities and challenges in a competitive era like today. Improving public speaking skills through the news anchor method, including the following aspects: body language, tone of voice, or aspects of vocal processing including articulation, intonation, tempo, pauses, visual cues, or using visual cues in this case through the visual medium of a camera supported by the aspect of will to achieve ability in terms of increasing public speaking capacity using the news anchor method, it is supported by the element of willingness to gain the ability to increase public speaking capacity using the news anchor method.

show abstract

“…Emphasis on Keywords: News anchors must be able to emphasize keywords in the news to highlight important information or certain aspects they want to convey to the audience (Ji, 2014).…”

Section: News Anchormentioning

confidence: 99%

Strategy for increasing Public Speaking skills through the News Anchor method

Anisa Sari,

Salsabela

2024

J. Commun.

View full text Add to dashboard Cite

show abstract

“…Unsupervised approaches for program segmentation were also addressed recently, where audiovisual consistency [5] and clustering-based methods [15] are considered. In particular, [5] proposed a multimodal event mining technique to discover repeating video segments exhibiting audio and visual consistency, and [15] clustered the keyframes based on a statistical distance of Pearson's correlation coefficient to detect anchorperson shots. However, these approaches are not enough practical for librarians, because they are either highly supervised or too specific to a particular type of programs.…”

Section: Introductionmentioning

confidence: 99%

Content-based unsupervised segmentation of recurrent TV programs using grammatical inference

Vallet

Carrive

et al. 2017

Multimed Tools Appl

View full text Add to dashboard Cite

TV program segmentation raised as a major topic in the last decade for the task of high quality indexing of multimedia content. Earlier studies of TV program segmentation are either highly supervised (e.g., event detection) or too specific to a certain type of program (e.g., cluster-based methods), which is not practically usable for indexing tasks because of the lack of generality of programs types. In this paper, we address the problem of unsupervised TV program segmentation by leveraging grammatical inference, i.e., discovering a common structural model shared by a collection of episodes of a recurrent TV program by finding an optimal alignment of structural elements across episodes. Structural elements referring to a video segment with a particular syntactic meaning with respect to the video structure. The use of symbolic representation of structural elements makes grammatical inference feasible to be applied on TV program modeling, and makes TV program segmentation possible to rely on only minimal domain knowledge. The proposed approach is operated in two phases. The first phase aims at obtaining a symbolic representation of each episode, where the elements relevant to the structure are discovered based on recurrence mining. The second phase is that of grammatical inference from the symbolic representation of episodes. We investigate two inference techniques, one based on multiple sequence alignment and one relying on uniform resampling, to infer structural grammars for TV programs. A model of the structure is derived from the structural grammars and used to predict the structure of new episodes. Comparative evaluation on two gramBingqing Qu

show abstract

“…In the re-detection round, the scale invariant feature transform was applied to re-detect boundaries so as to improve the detection precision rate. In paper [7], the raw news videos were firstly split into shots by a four-threshold method, and the key frames were extracted from each shot. After that, the anchor person detection was conducted from these key frames by using a clustering-based method based on a statistical distance of Pearson's correlation coefficient.…”

Section: Introductionmentioning

confidence: 99%

A Method of Video Shot-Boundary Detection based on Grey Modeling for Histogram Sequence

Liu¹,

Dai²

2016

IJSIP

View full text Add to dashboard Cite

Video Shot-Boundary Detection is important for video analysis, segmentation and retrieval. The detection results of Shot-Boundary are not only relation with two nearest frames of shot cuts, but also their several neighboring frames. Video stream is multistream time sequence. Grey model based on set sequence (SGM) is proposed to analyze and process multi-stream time sequences constructed with sampled histograms in this paper. Consequently, a novel Shot-Boundary Detection method is put forward based on SGM and color histogram, which includes the following steps: (1) When a new video frame coming into the detection system, the image is transformed into intensity image under HSI color model; (2) Histogram of the video frame can be obtained. Then, taking samples for the histogram and constructing set sequence with proximate sampled histograms is implemented;(3) SGM is introduced to simulate the sampled histogram sequence in this detection method. Moreover, absolute mean error (AME) and regulative AME (R AME ) with thresholds are applied to make a detection judgment. Finally, the experiments illuminate that the proposed method is an effective Shot-Boundary Detection method, and it is superior to method of Histogram disparity significantly, especially when it is used to detect cuts with some complex video scenes.

show abstract

News videos anchor person detection by shot clustering

Cited by 16 publications

References 45 publications

Strategy for increasing Public Speaking skills through the News Anchor method

Strategy for increasing Public Speaking skills through the News Anchor method

Content-based unsupervised segmentation of recurrent TV programs using grammatical inference

A Method of Video Shot-Boundary Detection based on Grey Modeling for Histogram Sequence

Contact Info

Product

Resources

About