• Title/Summary/Keyword: Sports news

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Automatic Genre Classification of Sports News Video Using Features of Playfield and Motion Vector (필드와 모션벡터의 특징정보를 이용한 스포츠 뉴스 비디오의 장르 분류)

  • Song, Mi-Young;Jang, Sang-Hyun;Cho, Hyung-Je
    • The KIPS Transactions:PartB
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    • v.14B no.2
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    • pp.89-98
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    • 2007
  • For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.

A Study on the Sentence Length of Sports News in the Era of the Convergency (융복합 시대에서 스포츠기사의 문장길이에 관한 연구)

  • Yoo, Byong Cher;Lee, Jong Young
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.505-511
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    • 2017
  • The purpose of this study is to identify the characteristic of the length of sentence of sports news articles compared with other sections, other newspaper and sports events. In order to achieve this purpose, 4 daily newspapers(Chosun Ilbo, Dong-A Ilbo, Kyunghyang Shinmun and MKsports) were selected as research sources. The length of sentence of collected articles was analyzed by One way ANOVA and Scheffe as post-hoc. The results of these analyses are summarized into three as follows: First, the length of sentence of news articles has significant difference by sections. To put it concretely, the sentences in politics section were the longest, and then economy, editorials comes. The sports section has the shortest sentences. Second, the length of sports articles has significant difference by newspapers. In particular, MK sports which is a sports-oriented newspaper has the shortest in the length of sentence of sports articles than other newspapers such as Chosun, Dong-A and Kyunghyang. Third, the length of sentence of sports articles has significant differences by the sports events. More specifically golf is the longest, and then basketball, soccer and baseball follows.

Semantic Scenes Classification of Sports News Video for Sports Genre Analysis (스포츠 장르 분석을 위한 스포츠 뉴스 비디오의 의미적 장면 분류)

  • Song, Mi-Young
    • Journal of Korea Multimedia Society
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    • v.10 no.5
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    • pp.559-568
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    • 2007
  • Anchor-person scene detection is of significance for video shot semantic parsing and indexing clues extraction in content-based news video indexing and retrieval system. This paper proposes an efficient algorithm extracting anchor ranges that exist in sports news video for unit structuring of sports news. To detect anchor person scenes, first, anchor person candidate scene is decided by DCT coefficients and motion vector information in the MPEG4 compressed video. Then, from the candidate anchor scenes, image processing method is utilized to classify the news video into anchor-person scenes and non-anchor(sports) scenes. The proposed scheme achieves a mean precision and recall of 98% in the anchor-person scenes detection experiment.

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Study on Perceptions through Big data Analysis on Gambling related News in Korea (한국 사행산업 관련 뉴스의 빅데이터 분석을 통한 인식 연구)

  • Moon, HyeJung;Kim, SungKyung
    • Journal of Broadcast Engineering
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    • v.22 no.4
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    • pp.438-447
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    • 2017
  • The purpose of this study is to understand the recognition of gambling industry through the semantic analysis of news data on lottery, sports betting, horse racing and casino that was reported between 1990 to 2015 in South Korea. This paper revealed the difference between journalists' intention and public's perception about news by analyzing the frequency and connectivity of news with framing and public's interest through semantic network analysis and explored the policy characteristics and innovation task. The result of analysis, news on lottery game mainly has been reported social issue related with win such as 'winning number', 'prize money', 'suspicion of manipulation' and etc. News on sports betting has been reported mandatory information related with business project and illegal site such as 'bidding', 'illegal site', 'sales target' and etc. News about horse racing has been reported the information about the business advertisement such as 'online race track' and 'promotion'. Lastly, casino related news has been reported 'major information' such as illegality', 'gambling place' and 'foreigner'. As a result of times series analysis, news about casino in the 1990s, news about lottery in the 2000s and news about horse racing in 2010s have been increased. Public's interest also has been moved to 'business scandal', 'winning game', 'citizens' campaign' and etc. Gambling related news has been classified by four types, 1. advertising publicity(horse racing), 2. mandatory information(sports betting), 3. social issue(public agenda, lottery), 4. major information(casino). We could get the insight that news can be formed a public agenda, when news is reported as a social issue with high frequency and public's interest like lottery related news.

Trend Analysis of Sports for All-Related Issues in Early Stage of COVID-19 Using Topic Modeling (토픽 모델링을 활용한 코로나19 초기 생활체육 이슈 분석)

  • Chung, Yunkil;Seo, Sumin;Kang, Hyunmin
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.57-79
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    • 2022
  • COVID-19, which started in December 2019, has had a great impact on our lives in general, including politics, economy, society, and culture, and activities in sports and arts have also been significantly reduced. In the case of sports, sports for all fields in which ordinary citizens participate were particularly affected, and cases of infection in places closely related to people's lives, such as gyms, table tennis, and badminton clubs, also amplified the social fear of the spread of COVID-19. Therefore, in this study, we analyzed news articles related to sports for all at the time when COVID-19 was first spread, and investigated what issues were emerging and being discussed in the sports for all field under the COVID-19 situation. Specifically, we collected news articles dealt with sports for all issues under the COVID-19 situation from Korea's leading portal news sites and identified key sports for all issues by performing topic modeling on these articles. Through the analysis, we found meaningful issues such as COVID-19 outbreak in sports facilities and support for sports activities. In addition, through wordcloud analysis of these major issues, we visually understood the issues and identified the changes in these issues over time.

An Analysis of the influence of the Editorial Elements of Portal News Section on the News User's Choice of Articles (포털 뉴스섹션의 편집요인이 뉴스 이용자의 기사선택에 미치는 영향에 대한 분석)

  • Park, Kwang-Soon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.5
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    • pp.2087-2095
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    • 2012
  • The editorial elements which are used in this paper are made up of news categories, photograph articles, titles of article written bold strokes and contents of article. Of these elements, only the three elements of photographic articles, the titles of article written bold strokes and contents of article had some effects on the choice of articles. For the portal news, only the news categories, the titles of article written bold strokes and the name of newspaper had an effect on the choice of articles. Of the news genres such as politics, business, social affairs, sports, culture/entertainment, world news and IT/science, only the three genres of social affairs, culture/entertainment and world news had some effects on news users' choice. For the difference between man group and woman group in analyzing the choice of articles, there was the difference in four elements of business, sports, culture/entertainment and IT/science.

The Effect of Augmented Reality Journalism on Immersion and Information Acquisition in Chinese Disaster and Sports News (AR 뉴스의 특성이 수용자의 몰입도 및 정보습득에 미치는 영향 - 중국의 재해, 스포츠 보도를 중심으로)

  • Liu, Jia Ni;Lee, Yoon;Lee, Hye Eun
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.474-488
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    • 2021
  • The application of Augmented Reality(AR) technology is visible in medical procedures, education, marketing, and journalism. By experimenting, this study examines how the evaluation of the three elements of augmented reality news contents(visual image, storytelling, interactivity) affects immersion and information acquisition. Specifically, a 2 (video technology: AR vs. general) × 2 (news type: disaster vs. sports) between-subject design was examined. Results showed that the evaluation of all three elements was higher when viewing AR news than when viewing general news. The level of immersion was higher when viewing AR news, and the evaluation of storytelling and interactivity had positive effect on the level of immersion regardless of the news types. However, the evaluation of visual images did not affect the level of immersion. Information acquisition was higher after viewing AR news, yet the effect of the evaluation of the three elements on information acquisition had not been found. Implication and discussion of the study were added in the end.

Extraction and Recognition of Character from MPEG-2 news Video Images (MPEG-2 뉴스영상에서 문자영역 추출 및 문자 인식)

  • Park, Yeong-Gyu;Kim, Seong-Guk;Yu, Won-Yeong;Kim, Jun-Cheol;Lee, Jun-Hwan
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1410-1417
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    • 1999
  • In this paper, we propose the method of extracting the caption regions from news video and the method of recognizing the captions that can be used mainly for content-based indexing and retrieving the MPEG-2 compressed news for NOD(News On Demand). The proposed method can reduce the searching time on detecting caption frames with minimum MPEG-2 decoding, and effectively eliminate the noise in caption regions by deliberately devised preprocessing. Because the kind of fonts that are used for captions is not various in the news video, an enhanced template matching method is used for recognizing characters. We could obtain good recognition result in the experiment of sports news video by the proposed methods.

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A study of the vitalization strategy for public sports facility through big-data (빅데이터 분석을 활용한 기금지원 체육시설 활성화 방안)

  • Kim, Mi-ok;Ko, Jin-soo;Noh, Seung-Chul;Chung, Jae-Hoon
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.527-535
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    • 2017
  • As interest increases in health promotion through sports, demand for public sports facilities is steadily growing. However, there is a lack of research on operation and management compared with the supply plan of public sports facility. In this context, the aim of this study is to address problems of management of public sports centers and suggest strategies for vitalizing the facilities through the big-data. The data are collected from web such as news, blog, and cafe for one year in 2015. From the big-data, We can find that the national sports centers and the open gyms showed similar users' behavior but showed different needs. Both facilities have been used as sports and leisure area and have a high percentage of visitors for other purposes such as walking, picnics, etc. However, while the national sports facilities which were used for more specialized programs, the open sports center were used as leisure space.

Perceptions of Disabled Sports in Newspapers Using Semantic Networks Analysis (신문기사에 나타난 장애인스포츠에 대한 인식 -의미연결망을 활용한 빅데이터 분석-)

  • Han, Min-kyu;Kim, Won-Kyoung;Yoon, Jiwun
    • 재활복지
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    • v.20 no.4
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    • pp.157-175
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    • 2016
  • The purpose of this study was to analyze the perceptions of disabled sports that were reported the newspapers using semantic network analysis method. for this purpose, 745 news articles were selected from 21 source in Naver news searching engine. The main keyword for searching on newspapers was 'disabled sports'. Krkwic software was used for keyword cleansing and co-occurrence of text to text matrix in frequencies. Centrality indices that are degree, between and eigenvector, were used to analyze the perceptions of disabled sports from Netminer 4.0 for semantic network analysis. The conclusion of overall results from this study are follows; First, the core keyword of disabled sports in newspapers are 'impression', 'challenge', 'festival', 'dream' and hope. And there is different concepts of cognition among types of disability. Second, there are two elements on the perceptions of disabled sports from reported newspapers; sports performance and emotional. Specifically, main stream of keyword were 'Paralympics' and 'Special Olympics' on sports performance element and 'impressive' and 'challenge' in emotion element.