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검색결과 198건 처리시간 0.023초

A Fast Inter-layer Mode Decision Method inScalable Video Coding (공간적 스케일러블 비디오 부호화에서 계층간 모드 고속 결정 방법)

  • Lee, Bum-Shik;Hahm, Sang-Jin;Park, Chang-Seob;Park, Keun-Soo;Kim, Mun-Churl
    • Journal of Broadcast Engineering
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    • 제12권4호
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    • pp.360-372
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    • 2007
  • We propose a fast inter-layer mode decision method by utilizing coding information of base layer upward its enhancement layer inscalable video coding (SVC), also called MPEG-4 part 10 Advanced Video Coding Amendment 3 or H.264 Scalable Extension (SE) which is being standardized. In this paper, when the motion vectors from the base layer have zero motion (0, 0) in inter-layer motion prediction or the Integer Transform coefficients of the residual between current MB and the motion compensated MB by the predicted motion vectors from the base layer are all zero, the block mode of the corresponding block to be encoded at the enhancement layer is determined to be the $16{\times}16$ mode. In addition, if the predicted mode of the MB to be encoded at the enhancement layer is not equal to the $16{\times}16$ mode, then the rate-distortion optimization is only performed on the reduced candidated modes which are same or smaller partitioned modes. Our proposed method exhibits the complexity reduction in encoding time up to 72%. Nevertheless, it shows negligible PSNR degradation and bit rate increase up to 0.25dB and 1.73%, respectively.

Video Transmission Technique based on Deep Neural Networks for Optimizing Image Quality and Transmission Efficiency (영상 품질 및 전송효율 최적화를 위한 심층신경망 기반 영상전송기법)

  • Lee, Jong Man;Kim, Ki Hun;Park, Hyun;Choi, Jeung Won;Kim, Kyung Woo;Bae, Sung Ho
    • Journal of Broadcast Engineering
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    • 제25권4호
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    • pp.609-619
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    • 2020
  • In accordance with a demand for high quality video streaming, it needs high data rate in limited bandwidth and more traffic congestion occurs. In particular, when providing real time video service, packet loss rate and bit error probability increase significantly. To solve these problems, a raptor code, which is one of FEC(Forward Error Correction) techniques, is pervasively used in the application layers as a method for improving real-time service quality. In this paper, we propose a method of determining image transmission parameters based on various deep neural networks to increase transmission efficiency at a similar level of image quality by using raptor codes. The proposed neural network uses the packet loss rate, video encoding rate and data rate as inputs, and outputs raptor FEC parameters and packet sizes. The results of the proposed method present that the throughput is 1.2% higher than that of the existing multimedia transmission technique by optimizing the transmission efficiency at a PSNR(Peak Signal-to-Noise Ratio) level similar to that of the existing technique.

Compact Half Bow-tie-type Quasi-Yagi Antenna for Terrestrial DTV Reception (지상파 디지털 방송 수신용 소형 반 보우 타이 형 준-야기 안테나)

  • Lee, Jong-Ig;Yeo, Junho;Park, Jin-Taek
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제14권4호
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    • pp.1908-1914
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    • 2013
  • In this paper, we introduce a design method for a broadband planar quasi-Yagi antenna (QYA) for terrestrial digital television (DTV) reception. The coplanar strip line which feeds the driver dipole is connected to a microstrip line and is terminated by short circuit. By appending a wide strip-type rectangular director at a location close to the driver dipole, broadband impedance matching and gain enhancement in a high frequency region are obtained. The gain characteristics in a low frequency region are improved by adding a reflector formed by a truncated ground plane. To reduce the antenna size, the strip-type dipole and reflector are modified to half bow-tie (V)-shaped elements. The effects of various parameters on the antenna characteristics are examined. An antenna, as a design example for the proposed antenna, is designed for the operation in the frequency band of 470-806 MHz for terrestrial DTV. The optimized antenna is fabricated on an FR4 substrate and the experimental results show that the antenna has a good performance such as a frequency band of 450-848 MHz for a VSWR < 2, gain > 4.1 dBi, and front-to-back ratio > 10.4 dB.

A Study on the Sound Amplitude and Decaying Time of the Jing Depending on the Depth of Rim (징악기의 RIM 깊이에 따른 음향 증폭 및 음향 지속 시간에 관한 연구)

  • Sohn Jung-ho;Bae Myung-Jin
    • Journal of Broadcast Engineering
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    • 제9권4호
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    • pp.424-433
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    • 2004
  • Jing(gong) is one of the most well known Korean traditional Samulnori instruments to the general public. Samulnori is consisted of four instruments, them being : the jingo the janggu (hour-glass drum). the kkwaenggwari, and the buk(drum). Of the four instruments, the jing with its deep, and yet soft and beautiful long lingering sound embraces the sounds of the other three. The jing is a brassware instrument, a compound of $70{\%}\;copper\;and\;22{\%}\;tin.$\;A high quality brassware is used when the jing is made. The jing is shaped with a 39-40cm circular plate and a rim that gives 7.0-7.5cm of depth to the instrument. Even with its most simple structure, when the circular plate is hit during performance, the rim which supports the circular plate gives resonance to the sound making low-frequency sounds. Therefore the range of the representative frequency of the full rim jing is between $118.4{\~}366.0[Hz],$\;the lingering sound lasts for more than 20 seconds afterwards. When the jing with half of its rim cut off is hit the basic frequency is $139.9{\~}387.5[Hz].$\;And the sound lasted for ten more seconds. The jing of its rimless frequencies are distributed between $990.5{\~}1,372[Hz].$\;And the lingering sound lasts for 5seconds afterwards. Therefore, different thickness and depth of the rim may give new resonance frequencies and alter the longing time of the sound. This thesis paper will try to reveal the relationship between the thickness or depth of the rim (which holds the bending circular plate) and the frequency or the lasting time of the sound.

Why Won't the Field Wall Collapse in the Typhoon? : Mathematical Approach to Non-orthogonal Symmetric Weighted Hadamard Matrix I (밭담은 태풍에 왜 안 무너지나?: 비직교 대칭 하중 아다마르 행렬에 의한 수학적 접근 I)

  • Lee, Moon-Ho;Kim, Jeong-Su
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제19권5호
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    • pp.211-217
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    • 2019
  • The three major inventions of Jeju include the field wall of Kim Koo Pan Gwan in 1234, Jeongnang in the custom of grazing the people of Jeju, and Olleh in the tomb of Munbang-gui in 1406. Field wall, Oedam from the stone and the stone of numerical play, made Koendang, a friendship society. Even with a typhoon that is more than 30m/s, the Koendang which is about 1.5m high, will not collapse. Similarly, the main family networks of Jeju society do not collapse under any difficulties situation. When building a field wall, two stones, which are under the ground, are placed side by side, and the upper left stone is placed on top and the upper right stone is attached regularly. One stone or two stone is attached from the bottom to the top, and when a stone is small or large, a flat field is formed in one space. The Family networks is close to the grandfather, grandmother, father, mother, and me, and the distant kin represents a horizontal relationship. The field wall is a vertical relationship that builds up from bottom to top of the vertical relation, while the Koendang is a horizontal relationship where blood is distributed to the grandson of his upper grandparents. This paper proves by a non-orthogonal symmetric weighted Hadamard matrix of whether the stone in the middle of a field wall has large stones (small).

Analysis of the Impact Relationship for Risk Factors on Big Data Projects Using SNA (SNA를 활용한 빅데이터 프로젝트의 위험요인 영향 관계 분석)

  • Park, Dae-Gwi;Kim, Seung-Hee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제21권1호
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    • pp.79-86
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    • 2021
  • In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

A Technique for Interpreting and Adjusting Depth Information of each Plane by Applying an Object Detection Algorithm to Multi-plane Light-field Image Converted from Hologram Image (Light-field 이미지로 변환된 다중 평면 홀로그램 영상에 대해 객체 검출 알고리즘을 적용한 평면별 객체의 깊이 정보 해석 및 조절 기법)

  • Young-Gyu Bae;Dong-Ha Shin;Seung-Yeol Lee
    • Journal of Broadcast Engineering
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    • 제28권1호
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    • pp.31-41
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    • 2023
  • Directly converting the focal depth and image size of computer-generated-hologram (CGH), which is obtained by calculating the interference pattern of light from the 3D image, is known to be quite difficult because of the less similarity between the CGH and the original image. This paper proposes a method for separately converting the each of focal length of the given CGH, which is composed of multi-depth images. Firstly, the proposed technique converts the 3D image reproduced from the CGH into a Light-Field (LF) image composed of a set of 2D images observed from various angles, and the positions of the moving objects for each observed views are checked using an object detection algorithm YOLOv5 (You-Only-Look-Once-version-5). After that, by adjusting the positions of objects, the depth-transformed LF image and CGH are generated. Numerical simulations and experimental results show that the proposed technique can change the focal length within a range of about 3 cm without significant loss of the image quality when applied to the image which have original depth of 10 cm, with a spatial light modulator which has a pixel size of 3.6 ㎛ and a resolution of 3840⨯2160.

Algorithm for Maximum Degree Vertex Partition of Cutwidth Minimization Problem (절단 폭 최소화 문제의 최대차수 정점 분할 알고리즘)

  • Sang-Un Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제24권1호
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    • pp.37-42
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    • 2024
  • This paper suggests polynomial time algorithm for cutwidth minimization problem that classified as NP-complete because the polynomial time algorithm to find the optimal solution has been unknown yet. To find the minimum cutwidth CWf(G)=max𝜈VCWf(𝜈)for given graph G=(V,E),m=|V|, n=|E|, the proposed algorithm divides neighborhood NG[𝜈i] of the maximum degree vertex 𝜈i in graph G into left and right and decides the vertical cut plane with minimum number of edges pass through the vertex 𝜈i firstly. Then, we split the left and right NG[𝜈i] into horizontal sections with minimum pass through edges. Secondly, the inner-section vertices are connected into line graph and the inter-section lines are connected by one line layout. Finally, we perform the optimization process in order to obtain the minimum cutwidth using vertex moving method. Though the proposed algorithm requires O(n2) time complexity, that can be obtains the optimal solutions for all of various experimental data

Designs on Tri-band Antenna for Wireless Communication in a Ship (선박내 무선통신을 위한 삼중대역 안테나 설계)

  • Jo, Sung-Sik;Ju, Yang-Ro;Lim, Tae-Kyun;Jang, Eun-Sil;Kim, Hun;Han, Hang-Man
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 한국항해항만학회 2010년도 춘계학술대회
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    • pp.151-153
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    • 2010
  • In this paper, the tri-band planar monopole microstrip antenna which stimulaneously meets the three bands such as TRS, WLAN and DMB is designed. The designed antenna size was smaller using CPW-fed structure that shows a ground-plane and a patch-plane are existed at one layer. The proposed antenna is designed on FR-4 substrate with a relative dielectric constant 4.3, thickness of 1.5mm and tangent loss 0.04. The designed antenna shows that VSWR is below 2 and has good return loss below -10dB over the three bandwidths.

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Artificial Intelligence-Based High School Course and University Major Recommendation System for Course-Related Career Exploration (교과 연계 진로 탐색을 위한 인공지능 기반 고교 선택교과 및 대학 학과 추천 시스템)

  • Baek, Jinheon;Kim, Hayeon;Kwon, Kiwon
    • KIPS Transactions on Software and Data Engineering
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    • 제10권1호
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    • pp.35-44
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    • 2021
  • Recent advances in the 4th Industrial Revolution have accelerated the change of the working environment, such that the paradigm of education has been shifted in accordance with career education including the free semester system and the high school credit system. While the purpose of those systems is students' self-motivated career exploration, educational limitations for teachers and students exist due to the rapid change of the information on education. Also, education technology research to tackle these limitations is relatively insufficient. To this end, this study first defines three requirements that education technologies for the career education system should consider. Then, through data-driven artificial intelligence technology, this study proposes a data system and an artificial intelligence recommendation model that incorporates the topics for career exploration, courses, and majors in one scheme. Finally, this study demonstrates that the set-based artificial intelligence model shows satisfactory performances on recommending career education contents such as courses and majors, and further confirms that the actual application of this system in the educational field is acceptable.