• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.193-195
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• 2009

Bluetooth is a popluar wireless data transmission method with low power consumption. In this paper, we present a open source based player of video stream encoded by H.264 codec, which is transmitted via Bluetooth. An open source JM is used for H.264 decoding and modified for reading H.264 encoded data via Bluetooth. For display of decoded video data, SDL was utilized.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.323-326
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• 2005

Several video coding standards, such as MPEG-4 and H.263, have been investigated to reduce the resulting number of bits while pursuing the maximum video quality. The recent video coding standard, H.264, provides higher coding efficiency than previous coding standards by using the mode decision scheme. For mode decision, H.264 chooses the best macroblock mode among the several candidates using Lagrangian cost function which reflects both the rate and the distortion. H.264 employs only one rate-distortion optimization (RDO) model for all macroblocks. Since the characteristics of each macroblock is different, each macroblock should have its own RDO model. In this paper, we propose an adaptive rate-distortion optimization algorithm for H.264. We regulate the Lagrangian multiplier considering the picture type and characteristics of each macroblock.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3076-3082
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• 2010

The techniques and the products which use various video compression codec are come out from army or civil field. In existing high-end PC environment, process of the video compression codec does not become a problem, but in embedded system environments which limited system resources, because the system load due to the high-resolution images compressed by high-density, issues of performance and utilization are highlighted. This paper proposes the DirectShow Filter interfaces which are a hardware method in order to solve the problem existing software algorithms for image compression performance and peripheral interfaces.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.295-298
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• 2003

In this paper, a novel maximum a posterion (MAP) estimation for the channel decoding of H.264 codes in the presence of transmission error is presented. Arithmetic codes with a forbidden symbol and trellis search techniques are employed in order to estimate the best transmitted. And, there has been growing interest of communication, the research about transmission of exact data is increasing. Unlike the case of voice transmission, noise has a fatal effect on the image transmission. The reason is that video coding standards have used the variable length coding. So, only one bit error affects the all video data compressed before resynchronization. For reasons of that, channel needs the channel codec, which is robust to channel error. But, usual channel decoder corrects the error only by channel error probability. So, designing source codec and channel codec, Instead of separating them, it is tried to combine them jointly. And many researches used the information of source redundancy In received data. But, these methods do not match to the video coding standards, because video ceding standards use not only one symbol but also many symbols in same data sequence. In this thesis, We try to design combined source-channel codec that is compatible with video coding standards. This MAP decoder is proposed by adding semantic structure and semantic constraint of video coding standards to the method using redundancy of the MAP decoders proposed previously. Then, We get the better performance than usual channel coder's.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.1
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• pp.35-41
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• 2009

The H.264/SVC enables network-adaptive video transmission to smart device which uses wireless network. But, quality scalability of H.264/SVC does not consider personal subjective image quality. In addition, its network efficiency also does not optimized because it uses MGS(Medium Grained Scalability) and CGS(Coarse Grained Scalability). Thus, this paper proposed a new scalable ROI algorithm for not only subjective image quality improvement but also network adaptation. To experiment our proposed a scheme, we added designed algorithm to JSVM(Joint Scalable Video Model) open source video codec of H.264/SVC. Experiment was performed according to the pre-defined scenario for simulating various network conditions. Finally, experimental result showed our proposed scalable ROI scheme. It is better than traditional non-selective scheme in subjective video quality.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1193-1200
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• 2010

This paper presents a new adaptive macroblock quantization algorithm which generates the output bits corresponding to the target bit budget. The H.264 standard uses various coding modes and optimization methods to improve the compression performance, which makes it difficult to control the amount of the generated traffic accurately. In the proposed scheme, linear regression analysis is used to analyze the relationship between the bit rate of each macroblock and the quantization parameter and to predict the MAD values. Using the predicted values, the quantization parameter of each macroblock is determined by the Lagrange multiplier method and then modified according to the difference between the bit budget and the generated bits. It is shown by experimental results that the new algorithm can generate output bits accurately corresponding to the target bit rates.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.7C
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• pp.649-653
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• 2009

Although digital image has many advantages including digital image compression and various image processing techniques, the it has the weakness of easy manipulation which led to the development of many digital watermarking techniques. There are various types of digital watermarking algorithms for spatial and spectral domains. This paper presents a watermarking implementation for H.264/AVC codec which is adapted for many multimedia standards.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.189-191
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• 2005

In the scalable extension of H.264/AVC, the codec is based on a layered approach to enable spatial scalability. In each layer, the basic concepts of motion compensated prediction and intra prediction are employed as in standard H.264/AVC. Additionally inter-layer prediction algorithm between successive spatial layers is applied to remove redundancy. In the inter-layer prediction, as the prediction we can use the signal that is the upsampled signal of the lower resolution layer. In this case, coding efficiency can be variable as the kinds of interpolation filter. In this paper, we investigate the approach to select the interpolation filter for residual signal in order to optimal prediction.

• The KIPS Transactions:PartA
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• v.15A no.1
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• pp.61-68
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• 2008

In this paper, we propose the VLSI design of Multi-Format Video Decoder (MFD) to support video codec standards such as MPEG-2, MPEG-4, H.264 and VC-1. The target of the proposed MFD is the Full HD (High Definition) video processing needed for the high-end D-TV SoC (System-on-Chip). The size of the design is reduced by sharing the common large-size resources such as the RISC processor and the on-chip memory among the different codecs. In addition, a detachable architecture is introduced in order to easily add or remove the codecs. The detachable architecture preserves the stability of the previously designed and verified codecs. The size of the design is about 2.4 M gates and the operating clock frequency is 225MHz in the Samsung 65nm process. The proposed MFD supports more than Full-HD (1080p@30fps) video decoding, and the largest number of video codec standards known so far.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.164-166
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• 2012

최근 스마트 기기의 보급과 무선 인터넷망의 보급으로 언제 어디에서나 비디오를 시청할 수 있다. 하지만 무선 인터넷 망의 품질이 안좋을 경우 영상의 QoS(Quality of Service)를 낮춰 프레임을 스킵하여 전송하게 된다. 이 때 FRUC(Frame Rate Up Conversion)기술을 적용한다면 원본의 프레임 레이트를 확보할 수 있어 QoS를 높일 것으로 기대한다. FRUC에서 MV(Motion Vector)추정시에 연산량이 매우 높아서 스마트 기기에 적용하는 것이 어렵지만 H.264코덱으로 인코딩된 동영상은 자체적으로 MV정보를 갖고 있기 때문에 이 MV를 FRUC에 적용할 수 있다면 FRUC의 연산량을 줄일 수 있을 것이다. 이를 위해서 H.264에 적용된 ME(Motion Estimation)와 FRUC에 적용된 ME의 차이를 고려하여 H.264코덱의 MV가 유용한지 분석하는 것이 선행돼야 한다. 본 논문에서는 H.264 MV와 FRUC의 MV의 차이를 분석하고 유용성을 판단하는 실험을 통해 H.264로 인코딩 된 비디오의 MV중 상당수가 FRUC에 적합함을 확인했다.