• Title/Summary/Keyword: Media Frame

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Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram

  • Jang, Yong-Hyun;Suh, Jung-Keun;Kim, Ku-Jin;Choi, Yoo-Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1377-1389
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    • 2016
  • This paper presents a target model update scheme for the mean-shift tracking with background weighted histogram. In the scheme, the target candidate histogram is corrected by considering the back-projection weight of each pixel in the kernel after the best target candidate in the current frame image is chosen. In each frame, the target model is updated by the weighted average of the current target model and the corrected target candidate. We compared our target model update scheme with the previous ones by applying several test sequences. The experimental results showed that the object tracking accuracy was greatly improved by using the proposed scheme.

3D DCT Video Information Hiding

  • Kim, Young-Gon;Jie Yang;Lee, Hye-Joo;Hong, Jin-Woo;Lee, Moon-Ho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2002.11a
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    • pp.169-172
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    • 2002
  • Embedding information into video data is a topic that recently gained increasing attention. This paper proposes a new approach for digital watermarking and secure copyright protection of video, the principal aim being to discourage illicit copying and distribution of copyrighted material. The method presented here is based on the three dimensional discrete cosine transform of video scene, in contrast with previous works on video watermarking where each video frame was marked separately, or where only intra-frame or motion compensation parameters were marked in MPEG compressed videos. The watermark sequence used is encrypted, pseudo-noise signal to the video. The performance of the presented technique is evaluated experimentally

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Framing city image: A content analysis of Chinese city image construction on Korean press

  • YANG Ting;LIU Jing
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.158-168
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    • 2024
  • With Wenhai big data SaaS cloud platform.2.0, this study analyzed data of 135 news reports relating to Chinese city Chongqing from Yonhap News Agency and ten South Korean mainstream newspapers from May 1st, 2018 to September 30th, 2022. Under the framework of Frame Theory, this research conducted data mining and analysis on how Korean mainstream media shaped city image of Chongqing, what kind of city images were shaped from dimensions of politics, economy, society, culture & sports as well as tourism and whether they are consistent with those in Chinese media. At the last part, discussions and suggestions was made.

An Adaptive Multimedia Synchronization Scheme for Media Stream Delivery in Multimedia Communication (멀티미디어 통신에서 미디어스트림 전송을 위한 적응형 멀티미디어 동기화 기법)

  • Lee, Gi-Sung
    • The KIPS Transactions:PartC
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    • v.9C no.6
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    • pp.953-960
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    • 2002
  • Rel-time application programs have constraints which need to be met between media-data. It is client-leading synchronization that is absorbing variable transmission delay time and that is synchronizing by feedback control and palyout control. It is the important factor for playback rate and QoS if the buffer level is normal or not. This paper, The method of maintenance buffer normal state transmits in multimedia server by appling feedback of filtering function. And synchronization method is processing adaptive playout time for smooth presentation without cut-off while media frame is skip. When audio frame which is master media is in upper threshold buffer level we decrease play out time gradually, low threshold buffer level increase it slowly.

Korean Media's News Coverage of Japan's position on Her Past History Problems Under Abe Shinzo's Cabinet Dynamic Process of News Framing (아베 내각의 일본 과거사 인식 문제에 대한 한국 언론의 시각 보수신문과 진보신문에 나타난 보도 프레임의 역동적 과정)

  • Lee, Wan Soo;Bae, Jae Young;Park, Kyung Woo
    • Korean journal of communication and information
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    • v.79
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    • pp.104-139
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    • 2016
  • This study investigated how Korean media covered Japan's position on her past history issues proposed by Abe' Shinzo's cabinet. The researchers adopted Entman's analytical tools for frame analysis and the concept of "frame changing" proposed by Chi and McCombs. The analysis rendered several propositions. First of all, the Korean media's coverage on Japan's past history issues focused heavily on the current conflict among two nations rather than constructing a futuristic viewpoint based on a thorough discussion on the historical background of the topic. In addition, it emphasized that the conflict should be resolved by political negotiations between the two governments. Secondly, the news coverages depicted "comfort women" issues as the prime element of the conflict, describing Abe's cabinet as the major inducer of the conflict. Ideological and political divisions among Korean media did not significantly influence on how they frame Japan's past history issues. In general, Korean media took the stance of ethnocentric "patriotic journalism," advocating Korean government's position and covering the emotional reactions from Korean public instead of providing through and through objective news coverage on Japan's past history issues.

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An Experimental Study on the Effects of Television News Frame -on the Audiences' Perception about North Korea- (북한 관련 TV뉴스의 프레이밍 방식에 따른 수용자의 인식 변화에 대한 실험연구)

  • Kim, Seong-Joon;Lee, Chang-Hyun
    • Korean journal of communication and information
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    • v.19
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    • pp.95-123
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    • 2002
  • There has been a change in the South Korean policy towards the North which in turn changed the news frame of television broadcasters in South Korea. We did an empirical analysis of how this changed news frame influence the audiences' perception of North Korea and Unification. An experimental design was carried out in order to test the response of the audiences to different news frame. The results show that the respondents' perception towards North Korea were changed when exposed to a specific type of new frame. This confirms the existing knowledge on how news frame influence the perception of TV viewers. This research can serve as background information when making decisions to how the South Korean news media should report North Korea and Unification related news stories.

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A frame detection method for DVB-S2x superframe receivers based on beam-hopping satellite transmission (빔-호핑 위성 전송 기반의 DVB-S2x 슈퍼프레임 수신기를 위한 프레임 검출 기법)

  • Oh, Jonggyu;Oh, Dukgil
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.24-27
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    • 2017
  • 본 논문에서는 빔-호핑 위성 전송 기반의 DVB-S2x 슈퍼프레임 수신기를 위한 프레임 검출 기법을 제안한다. 제안하는 검출 기법은 2 체배 오버샘플링 레이트에서(over-sampling rate)에서 동작을 수행하며, 슈퍼프레임의 헤더를 구성하는 start of super-frame (SOSF)과 super frame format indicator (SFFI)를 모두 이용하여 하드웨어 복잡도를 줄이면서도 견고하게 프레임을 검출할 수 있다.

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상태 표현 방식에 따른 심층 강화 학습 기반 캐릭터 제어기의 학습 성능 비교

  • Son, Chae-Jun;Lee, Yun-Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.14-15
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    • 2021
  • 물리 시뮬레이션 기반의 캐릭터 동작 제어 문제를 강화학습을 이용하여 해결해 나가는 연구들이 계속해서 진행되고 있다. 이에 따라 이 문제를 강화학습을 이용하여 풀 때, 영향을 미치는 요소에 대한 연구도 계속해서 진행되고 있다. 우리는 지금까지 이뤄지지 않았던 상태 표현 방식에 따른 강화학습에 미치는 영향을 분석하였다. 첫째로, root attached frame, root aligned frame, projected aligned frame 3 가지 좌표계를 정의하였고, 이에 대해 표현된 상태를 이용하여 강화학습에 미치는 영향을 분석하였다. 둘째로, 동역학적 상태를 나타내는 캐릭터 관절의 위치, 각도에 따라 학습에 어떠한 영향을 미치는지 분석하였다.

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Effective Hand Gesture Recognition by Key Frame Selection and 3D Neural Network

  • Hoang, Nguyen Ngoc;Lee, Guee-Sang;Kim, Soo-Hyung;Yang, Hyung-Jeong
    • Smart Media Journal
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    • v.9 no.1
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    • pp.23-29
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    • 2020
  • This paper presents an approach for dynamic hand gesture recognition by using algorithm based on 3D Convolutional Neural Network (3D_CNN), which is later extended to 3D Residual Networks (3D_ResNet), and the neural network based key frame selection. Typically, 3D deep neural network is used to classify gestures from the input of image frames, randomly sampled from a video data. In this work, to improve the classification performance, we employ key frames which represent the overall video, as the input of the classification network. The key frames are extracted by SegNet instead of conventional clustering algorithms for video summarization (VSUMM) which require heavy computation. By using a deep neural network, key frame selection can be performed in a real-time system. Experiments are conducted using 3D convolutional kernels such as 3D_CNN, Inflated 3D_CNN (I3D) and 3D_ResNet for gesture classification. Our algorithm achieved up to 97.8% of classification accuracy on the Cambridge gesture dataset. The experimental results show that the proposed approach is efficient and outperforms existing methods.

Extracting Graphics Information for Better Video Compression

  • Hong, Kang Woon;Ryu, Won;Choi, Jun Kyun;Lim, Choong-Gyoo
    • ETRI Journal
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    • v.37 no.4
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    • pp.743-751
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    • 2015
  • Cloud gaming services are heavily dependent on the efficiency of real-time video streaming technology owing to the limited bandwidths of wire or wireless networks through which consecutive frame images are delivered to gamers. Video compression algorithms typically take advantage of similarities among video frame images or in a single video frame image. This paper presents a method for computing and extracting both graphics information and an object's boundary from consecutive frame images of a game application. The method will allow video compression algorithms to determine the positions and sizes of similar image blocks, which in turn, will help achieve better video compression ratios. The proposed method can be easily implemented using function call interception, a programmable graphics pipeline, and off-screen rendering. It is implemented using the most widely used Direct3D API and applied to a well-known sample application to verify its feasibility and analyze its performance. The proposed method computes various kinds of graphics information with minimal overhead.