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    Personalized retrieval of sports video

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    Runner re-identification from single-view video in the open-world setting

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    In many sports, player re-identification is crucial for automatic video processing and analysis. However, most of the current studies on player re-identification in multi- or single-view sports videos focus on re-identification in the closed-world setting using labeled image dataset, and player re-identification in the open-world setting for automatic video analysis is not well developed. In this paper, we propose a runner re-identification system that directly processes single-view video to address the open-world setting. In the open-world setting, we cannot use labeled dataset and have to process video directly. The proposed system automatically processes raw video as input to identify runners, and it can identify runners even when they are framed out multiple times. For the automatic processing, we first detect the runners in the video using the pre-trained YOLOv8 and the fine-tuned EfficientNet. We then track the runners using ByteTrack and detect their shoes with the fine-tuned YOLOv8. Finally, we extract the image features of the runners using an unsupervised method using the gated recurrent unit autoencoder model. To improve the accuracy of runner re-identification, we use dynamic features of running sequence images. We evaluated the system on a running practice video dataset and showed that the proposed method identified runners with higher accuracy than one of the state-of-the-art models in unsupervised re-identification. We also showed that our unsupervised running dynamic feature extractor was effective for runner re-identification. Our runner re-identification system can be useful for the automatic analysis of running videos.Comment: 18 pages, 8 figure

    ํ•œ๊ตญ ์ดˆ๋“ฑํ•™์ƒ๋“ค์˜ ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ ์˜์–ด ์ฝ๊ธฐ ๊ฒฝํ—˜ ์‚ฌ๋ก€ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์™ธ๊ตญ์–ด๊ต์œก๊ณผ(์˜์–ด์ „๊ณต), 2023. 2. ์†Œ์˜์ˆœ.21์„ธ๊ธฐ ์ •๋ณดํ™” ์‚ฌํšŒ์—์„œ ์ง€์‹ ์ •๋ณด ์ฒ˜๋ฆฌ ๋Šฅ๋ ฅ์˜ ์ค‘์š”์„ฑ์€ ๋‚˜๋‚ ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. 2015 ๊ฐœ์ • ์˜์–ด ๊ต์œก๊ณผ์ •์—์„œ๋Š” ์ง€์‹ ์ •๋ณด ์ฒ˜๋ฆฌ ์—ญ๋Ÿ‰์„ ์ƒˆ๋กœ์šด ์ค‘์‹ฌ ์—ญ๋Ÿ‰์œผ๋กœ ์†Œ๊ฐœํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ตœ๊ทผ ์ฝ”๋กœ๋‚˜ ๋ฐ”์ด๋Ÿฌ์Šค๋กœ ์ธํ•œ ๋น„๋Œ€๋ฉด์  ์˜์–ด ํ•™์Šต ํ™˜๊ฒฝ์ด ํ™•๋Œ€๋จ์— ๋”ฐ๋ผ ๋‹ค์–‘ํ•œ ์˜จ๋ผ์ธ ์˜์–ด ์ €์ž‘๋ฌผ์ด ๊ฐœ๋ฐœ๋˜์–ด ์ œ๊ณต๋˜์–ด์™”๋‹ค. ์˜จ๋ผ์ธ ์ €์ž‘๋ฌผ์€ ์‚ฌ์ „, ์˜์ƒ์ž๋ฃŒ, ๋ฐฑ๊ณผ์‚ฌ์ „ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ์ž๋ฃŒ์™€ ๋งํฌ๋กœ ์—ฐ๊ฒฐ๋˜์–ด ํ•™์Šต์ž์˜ ํ•„์š”์— ๋”ฐ๋ผ ์ฆ‰๊ฐ์ ์œผ๋กœ ์„ ํƒ ๋ฐ ํ™œ์šฉ์ด ๊ฐ€๋Šฅํ•œ ํ•˜์ดํผํ…์ŠคํŠธ(hypertext)๊ธฐ์ˆ ์ด ์ ์šฉ๋˜์–ด ๊ตฌํ˜„๋˜์—ˆ๋‹ค. ์ด์— ๊ฐœ๋ณ„ ํ•™์Šต์ž์˜ ์˜ฌ๋ฐ”๋ฅธ ์ž๋ฃŒ ํŒ๋‹จ ๋ฐ ํ™œ์šฉ ์—ญ๋Ÿ‰์— ๋”ฐ๋ฅธ ์˜์–ด ํ•™์Šต ๋Šฅ๋ ฅ์˜ ์ฐจ์ด๊ฐ€ ์‹ฌํ™”๋˜๊ณ  ์žˆ๋Š” ํ˜„์‹ค์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์˜์–ด ์ฝ๊ธฐ์— ๊ด€ํ•œ ์—ฌ๋Ÿฌ ์„ ํ–‰ ์—ฐ๊ตฌ๋“ค์—์„œ ์˜จ๋ผ์ธ ํ•˜์ดํผํ…์ŠคํŠธ ์ž๋ฃŒ์˜ ํ™œ์šฉ์€ ์„ฑ์ธ ํ•™์Šต์ž๋ฅผ ๋น„๋กฏํ•˜์—ฌ ์˜์–ด ํ•™์Šต ๋Šฅ๋ ฅ์ด ์šฐ์ˆ˜ํ•œ ํ•™์Šต์ž์—๊ฒŒ๋งŒ ์ œํ•œ์ ์œผ๋กœ ์ด๋ฃจ์–ด์กŒ๋‹ค๋Š” ํ•œ๊ณ„๋ฅผ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ฐ๊ตฌ ๋Œ€์ƒ์˜ ๋ฒ”์œ„๋ฅผ ํ™•์žฅํ•˜์—ฌ EFL ํ™˜๊ฒฝ์˜ ์ดˆ๋“ฑ ์˜์–ด ํ•™์Šต์ž๋“ค์ด ์˜์–ด ์ฝ๊ธฐ ํ™œ๋™์—์„œ ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ๋ฅผ ์–ด๋–ป๊ฒŒ ์‚ฌ์šฉํ•˜๊ณ  ์ธ์‹ํ•˜๋Š”์ง€ ์ธ์ง€์ , ์ •์˜์  ๊ด€์ ์—์„œ ์งˆ์ ์œผ๋กœ ๊ณ ์ฐฐํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ํ•œ๊ตญ์˜ ์ดˆ๋“ฑํ•™๊ต 6ํ•™๋…„ ํ•™์ƒ๋“ค์ด ์ž๋ฐœ์ ์œผ๋กœ ์ฐธ์—ฌํ•˜์˜€์œผ๋ฉฐ ์Šคํฌ๋ฆฐ ํ…Œ์ŠคํŠธ๋ฅผ ๊ฑฐ์ณ ์„ธ ๋ช…์˜ ์ฐธ๊ฐ€์ž๋“ค์ด ๋ชจ์ง‘๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž๋“ค์€ ์ด 16ํšŒ์˜ ์˜จ๋ผ์ธ ์˜์–ด ์ฝ๊ธฐ ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•˜๋ฉฐ ์„ธ ๊ฐœ์˜ ์˜จ๋ผ์ธ ์ž๋ฃŒ(๋„ค์ด๋ฒ„ ์˜์–ด ์‚ฌ์ „, ๋„ค์ด๋ฒ„ ๋ฐฑ๊ณผ์‚ฌ์ „, ์œ ํˆฌ๋ธŒ)๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ์ฐธ์—ฌ์ž๋“ค์€ ๊ฐœ์ธ์ ์ธ ํ•„์š”์— ๋”ฐ๋ผ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜๋ฉฐ ์ฝ๊ธฐ ์ค‘ ๋ฐœ์ƒํ•œ ์–ด๋ ค์›€์„ ํ•ด๊ฒฐํ•˜์˜€๊ณ , ํšจ๊ณผ์ ์ธ ๋…ํ•ด๋ฅผ ์œ„ํ•œ ์ „๋žต๋“ค์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ฝ๊ธฐ ๊ณผ์—… ์งํ›„์—๋Š” ํ•™์Šต์ž๋“ค์˜ ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ์˜ ํ™œ์šฉ ๋ชฉ์ ๊ณผ ์ฝ๊ธฐ ๊ณผ์ • ์ „๋ฐ˜์— ๊ด€ํ•œ ๋ฉด๋‹ด์ด ์‹ค์‹œ๋˜์—ˆ๋‹ค. ์˜จ๋ผ์ธ ์˜์–ด ์ฝ๊ธฐ ๊ณผ์—…์€ ์คŒ(ZOOM) ํ”„๋กœ๊ทธ๋žจ์„ ํ†ตํ•ด ํ™”๋ฉด ๋…นํ™” ๋ฐ ์Œ์„ฑ ๋…น์Œ๋˜์—ˆ์œผ๋ฉฐ, ๋ฉด๋‹ด ๋‚ด์šฉ์€ ์Šค๋งˆํŠธ ํฐ์„ ์ด์šฉํ•˜์—ฌ ๋…น์Œ๋˜์—ˆ๋‹ค. ์„ธ ๋ช…์˜ ํ•™์Šต์ž๋“ค์€ ์˜์–ด ์ˆ˜์ค€ ๋ฐ ๋ฐฐ๊ฒฝ์ง€์‹, ์ดํ•ด๋„ ์ธก๋ฉด์—์„œ ์ฐจ์ด๋ฅผ ๋ณด์˜€์œผ๋ฉฐ ์˜์–ด ํ•™์Šต ์ˆ˜์ค€๊ณผ ํ•„์š”์— ๋”ฐ๋ผ ์ ํ•ฉํ•œ ์ •๋ณด ํ™œ์šฉ ์ „๋žต ๋ฐ ์ฝ๊ธฐ ์ „๋žต์„ ๋ฐœ์ „์‹œ์ผœ๊ฐ€๋Š” ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค. ํŠนํžˆ, ํ•™์Šต์ž๋“ค์ด ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜๋ฉฐ ์ฝ๊ธฐ์˜ ์–ด๋ ค์›€์„ ํ•ด๊ฒฐํ•˜๋Š” ๊ณผ์ •์—์„œ ์–ธ์–ด์  ์ง€์‹์˜ ์Šต๋“, ๋ฐฐ๊ฒฝ์ง€์‹์˜ ์ถ•์  ๋“ฑ์˜ ์ธ์ง€์  ๋ณ€ํ™”์™€ ๋”๋ถˆ์–ด ํ•™์Šต์ž ๊ฐœ์ธ์˜ ์˜์–ด ์ฝ๊ธฐ์— ๋Œ€ํ•œ ํฅ๋ฏธ(reading interest)์™€ ์ž์‹ ๊ฐ(self-confidence), ์ž๊ธฐ ํšจ๋Šฅ๊ฐ(self-efficacy)๋ฅผ ๋Š๋ผ๋Š” ๋“ฑ์˜ ์ •์˜์ ์ธ ๋ณ€ํ™”๋ฅผ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋น„๋ก, ์ฐธ์—ฌ์ž์˜ ์˜์–ด ํ•™์Šต ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ „๋žต์„ ์‚ฌ์šฉํ•˜๋Š” ์–‘์ƒ์— ์žˆ์–ด์„œ๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜ ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ๊ฐ€ ์ดˆ๋“ฑ ์˜์–ด ํ•™์Šต์ž์˜ ์ œ 2์–ธ์–ด ํ•™์Šต์— ๋ฏธ์น˜๋Š” ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐฉ๋ฒ•๋ก ์  ์ธก๋ฉด์—์„œ ์ผ๋ถ€ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜ ์ดˆ๋“ฑ ์˜์–ดํ•™์Šต์ž๋“ค์ด ์˜์–ด ์ฝ๊ธฐ ํ™œ๋™์—์„œ ์ •๋ณด๋ฅผ ์ฃผ์ฒด์ ์œผ๋กœ ํ™œ์šฉํ•˜๋ฉฐ ํšจ๊ณผ์ ์ธ ๋ฌธ์ œ ํ•ด๊ฒฐ์— ๊ธฐ์—ฌํ•˜๋Š” ์ ๊ทน์ ์ธ ์ฝ๊ธฐ๋ฅผ ์‹ค์ฒœํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜จ๋ผ์ธ ์˜์–ด ํ•™์Šต ๋ฐ ์˜์–ด ์ฝ๊ธฐ ํ™œ๋™์—์„œ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์˜จ๋ผ์ธ ํ•˜์ดํผ๋งํฌ ์ž๋ฃŒ์˜ ์˜ํ–ฅ๋ ฅ์— ๋Œ€ํ•ด ํ†ต์ฐฐ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ์˜์–ด ๊ต์œกํ™˜๊ฒฝ์—์„œ ํ•˜์ดํผํ…์ŠคํŠธ ๊ธฐ์ˆ ๊ณผ ์˜จ๋ผ์ธ ์ •๋ณด ๋งค์ฒด์˜ ์ ‘๋ชฉ์„ ํ†ตํ•ด ํ•™์ƒ๋“ค์˜ ์ฝ๊ธฐ ํฅ๋ฏธ๋ฅผ ์ฆ์ง„์‹œํ‚ค๋Š”๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.Digital literacy plays an important role in the recent computer-assisted learning environment. The 2015 Revised National English Curriculum introduced digital literacy as a core ability to develop in English language learners. In accordance with the emergence of digital literacy, various online reading materials embedded with hypertexts were provided to EFL learners, which connected the English reading text with diverse online resources existing outside of the text. As readers effective use of online resources in English reading is the core ability of digital literacy, the importance of hypertexts and hyperlinked resources in English reading was examined by many researchers. However, few studies are conducted on young readers use of hyperlinked online resources in English reading. Therefore, this study aims to investigate the use of Korean elementary school students hyperlinked online resources in English reading and their perception of the use of hyperlinked online resources. Exploring readers use and perception of English reading assisted by hyperlinked online information sources, will provide insights into English reading instruction by determining young readers difficulties in reading English and how they solve the difficulties with the effective use of hypertext materials while reading. For this study, three 6th grade Korean elementary school students voluntarily participated in the sixteen sessions. Throughout the sixteen sessions, students read English science expository texts. Students used three online resources (Naver English Dictionary (NED), Naver Encyclopedia (NE), and YouTube) to assist their reading. Following the reading tasks, semi-structured interviews were conducted to explore the students perception of using hyperlinked resources while reading. The use of hyperlinked online resources in English reading was screen-recorded with Zoom software and the following semi-structured interviews were recorded with an iPhone audio-recording program. The findings suggested that readers mainly used hyperlinked online resources to support them in addressing lexical difficulties in reading, which in turn resulted in a positive evaluation of the use of online resources in their English reading. By complementing their linguistic deficiencies with the hyperlinked online resources, readers could feel self-confidence and self-efficacy in English reading. The accumulation of experiences in English reading assisted by hyperlinked online resources also elicited reading interest among readers, which proposed an optimistic view of turning readers into life-long readers. Throughout the sixteen sessions, readers also developed online reading strategies such as locating the appropriate information they needed or finding an effective way to use hyperlinked resources. Although the degree of the potential of hyperlinked online resources differed among individual learners due to their differences in language proficiency or prior knowledge, the use of online resources in reading resulted in their overall cognitive and affective change in English reading. Although this study had some limitations concerning the methodological approach of the research, it will contribute to a better understanding of Korean elementary school students English reading behavior with the potential benefits of hyperlinked online resources in English learning.CHAPTER 1. INTRODUCTION 1 1.1 The Background of the Study 1 1.2 The Purpose of the Study 6 1.3 The Organization of the Thesis 7 CHAPTER 2. LITERATURE REVIEW 8 2.1 Hypertext in Online Reading 8 2.1.1 The Features of Hypertext in Online Reading 8 2.2 Online Reading Strategies 11 2.3 Factors Influencing Hypertext Reading 15 2.3.1 External Factors in Hypertext Reading 15 2.3.2 Internal Factors in Hypertext Reading 19 2.4 Limitations of Previous Research 24 CHAPTER 3. METHODOLOGY 27 3.1 Participants 28 3.2 Instruments 33 3.2.1 Background Information Questions 33 3.2.2 Hypertexts 34 3.2.3 Comprehension Questions 45 3.2.4 Semi-structured Interview Questions 45 3.2.5 Final Interview Questions 46 3.3 Data Collection 47 3.3.1 Think aloud Protocol 49 3.4 Data Transcription 51 3.5 Data Analysis 53 3.5.1 Analysis of Reading Process 53 3.5.2 Analysis of Interviews 56 CHAPTER 4. RESULTS AND DISCUSSION 59 4.1 Comparison of the Three Readers Use of Hyperlinked Online Resources in English Reading 60 4.1.1 Readers' Use of Pre-Determined Hyperlinked Online Resources in English Reading 62 4.1.2 Readers' Voluntary Use of Hyperlinked Online Resources in English Reading 74 4.1.3 Readers Perceptions of Hyperlinked Online Resource Use in English Reading 94 4.2 The Potentials of English Reading Assisted by Hyperlinked Online Resources 102 4.2.1 The Positive Influence of Hyperlinked Online Resources on EFL Readers' Cognitive and Affective Domain 102 4.2.2 The Value of Reading Experience and Practice 105 CHAPTER 5. CONCLUSION 108 5.1 Major Findings and Implications 108 5.2 Limitations and Suggestions for Further Research 111 REFERENCES 114 APPENDICES 123 ABSTRACT IN KOREAN 133์„

    Feature based dynamic intra-video indexing

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    A thesis submitted in partial fulfillment for the degree of Doctor of PhilosophyWith the advent of digital imagery and its wide spread application in all vistas of life, it has become an important component in the world of communication. Video content ranging from broadcast news, sports, personal videos, surveillance, movies and entertainment and similar domains is increasing exponentially in quantity and it is becoming a challenge to retrieve content of interest from the corpora. This has led to an increased interest amongst the researchers to investigate concepts of video structure analysis, feature extraction, content annotation, tagging, video indexing, querying and retrieval to fulfil the requirements. However, most of the previous work is confined within specific domain and constrained by the quality, processing and storage capabilities. This thesis presents a novel framework agglomerating the established approaches from feature extraction to browsing in one system of content based video retrieval. The proposed framework significantly fills the gap identified while satisfying the imposed constraints of processing, storage, quality and retrieval times. The output entails a framework, methodology and prototype application to allow the user to efficiently and effectively retrieved content of interest such as age, gender and activity by specifying the relevant query. Experiments have shown plausible results with an average precision and recall of 0.91 and 0.92 respectively for face detection using Haar wavelets based approach. Precision of age ranges from 0.82 to 0.91 and recall from 0.78 to 0.84. The recognition of gender gives better precision with males (0.89) compared to females while recall gives a higher value with females (0.92). Activity of the subject has been detected using Hough transform and classified using Hiddell Markov Model. A comprehensive dataset to support similar studies has also been developed as part of the research process. A Graphical User Interface (GUI) providing a friendly and intuitive interface has been integrated into the developed system to facilitate the retrieval process. The comparison results of the intraclass correlation coefficient (ICC) shows that the performance of the system closely resembles with that of the human annotator. The performance has been optimised for time and error rate
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