• Title, Summary, Keyword: Video Compression

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Fine-scalable SPIHT Hardware Design for Frame Memory Compression in Video Codec

  • Kim, Sunwoong;Jang, Ji Hun;Lee, Hyuk-Jae;Rhee, Chae Eun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.17 no.3
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    • pp.446-457
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    • 2017
  • In order to reduce the size of frame memory or bus bandwidth, frame memory compression (FMC) recompresses reconstructed or reference frames of video codecs. This paper proposes a novel FMC design based on discrete wavelet transform (DWT) - set partitioning in hierarchical trees (SPIHT), which supports fine-scalable throughput and is area-efficient. In the proposed design, multi-cores with small block sizes are used in parallel instead of a single core with a large block size. In addition, an appropriate pipelining schedule is proposed. Compared to the previous design, the proposed design achieves the processing speed which is closer to the target system speed, and therefore it is more efficient in hardware utilization. In addition, a scheme in which two passes of SPIHT are merged into one pass called merged refinement pass (MRP) is proposed. As the number of shifters decreases and the bit-width of remained shifters is reduced, the size of SPIHT hardware significantly decreases. The proposed FMC encoder and decoder designs achieve the throughputs of 4,448 and 4,000 Mpixels/s, respectively, and their gate counts are 76.5K and 107.8K. When the proposed design is applied to high efficiency video codec (HEVC), it achieves 1.96% lower average BDBR and 0.05 dB higher average BDPSNR than the previous FMC design.

Classification of Degradation Types Based on Distribution of Blocky Blocks for IP-Based Video Services

  • Min, Kyung-Yeon;Lee, Seon-Oh;Sim, Dong-Gyu;Lee, Hyun-Woo;Ryu, Won;Lee, Kyoung-Hee
    • ETRI Journal
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    • v.33 no.3
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    • pp.454-457
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    • 2011
  • In this letter, we propose a new quality measurement method to identify the causes of video quality degradation for IP-based video services. This degradation mainly results from network performance issues and video compression. The proposed algorithm identifies the causes based on statistical feature values from blocky block distribution in degraded IP-based videos. We found that the sensitivity and specificity of the proposed algorithm are 93.63% and 91.99%, respectively, in comparison with real error types and subjective test data.

Discrete Multiwavelet-Based Video Watermarking Scheme Using SURF

  • Narkedamilly, Leelavathy;Evani, Venkateswara Prasad;Samayamantula, Srinivas Kumar
    • ETRI Journal
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    • v.37 no.3
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    • pp.595-605
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    • 2015
  • This paper proposes a robust, imperceptible block-based digital video watermarking algorithm that makes use of the Speeded Up Robust Feature (SURF) technique. The SURF technique is used to extract the most important features of a video. A discrete multiwavelet transform (DMWT) domain in conjunction with a discrete cosine transform is used for embedding a watermark into feature blocks. The watermark used is a binary image. The proposed algorithm is further improved for robustness by an error-correction code to protect the watermark against bit errors. The same watermark is embedded temporally for every set of frames of an input video to improve the decoded watermark correlation. Extensive experimental results demonstrate that the proposed DMWT domain video watermarking using SURF features is robust against common image processing attacks, motion JPEG2000 compression, frame averaging, and frame swapping attacks. The quality of a watermarked video under the proposed algorithm is high, demonstrating the imperceptibility of an embedded watermark.

Embedded Compression Codec Algorithm for Motion Compensated Wavelet Video Coding System (움직임 보상된 웨이블릿 기반의 비디오 코딩 시스템에 적용 가능한 임베디드 압축 코덱 알고리즘)

  • Kim, Song-Ju
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.77-83
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    • 2012
  • In this paper, a low-complexity embedded compression (EC) Codec algorithm for the wavelet video coder is applied to reduce excessive external memory requirements. The EC algorithm is used to achieve a fixed compression ratio of 50 % under the near-lossless-compression constraint. The EC technique can reduce the 50 % memory requirement for intermediate low-frequency coefficients during multiple discrete wavelet transform stages compared with direct implementation of the wavelet video encoder of this paper. Furthermore, the EC scheme based on a forward adaptive quantization and fixed length coding can save bandwidth and size of buffer between DWT and SPIHT to 50 %. Simulation results show that our EC algorithm present only PSNR degradation of 0.179 and 0.162 dB in average when the target bit-rate of the video coder are 1 and 0.5 bpp, respectively.

Lossless Frame Memory Compression with Low Complexity based on Block-Buffer Structure for Efficient High Resolution Video Processing (고해상도 영상의 효과적인 처리를 위한 블록 버퍼 기반의 저 복잡도 무손실 프레임 메모리 압축 방법)

  • Kim, Jongho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.20-25
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    • 2016
  • This study addresses a low complexity and lossless frame memory compression algorithm based on block-buffer structure for efficient high resolution video processing. Our study utilizes the block-based MHT (modified Hadamard transform) for spatial decorrelation and AGR (adaptive Golomb-Rice) coding as an entropy encoding stage to achieve lossless image compression with low complexity and efficient hardware implementation. The MHT contains only adders and 1-bit shift operators. As a result of AGR not requiring additional memory space and memory access operations, AGR is effective for low complexity development. Comprehensive experiments and computational complexity analysis demonstrate that the proposed algorithm accomplishes superior compression performance relative to existing methods, and can be applied to hardware devices without image quality degradation as well as negligible modification of the existing codec structure. Moreover, the proposed method does not require the memory access operation, and thus it can reduce costs for hardware implementation and can be useful for processing high resolution video over Full HD.

Layered Depth Image Representation And H.264 Encoding of Multi-view video For Free viewpoint TV (자유시점 TV를 위한 다시점 비디오의 계층적 깊이 영상 표현과 H.264 부호화)

  • Shin, Jong Hong
    • Journal of the Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.91-100
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    • 2011
  • Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

A Fast Sub-pixel Motion Estimation Method for H.264 Video Compression (H.264 동영상 압축을 위한 부 화소 단위에서의 고속 움직임 추정 방법)

  • Lee, Yun-Hwa;Choi, Myung-Hoon;Shin, Hyun-Chul
    • Journal of KIISE:Software and Applications
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    • v.33 no.4
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    • pp.411-417
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    • 2006
  • Motion Estimation (ME) is an important part of video coding process and it takes the largest amount of computation in video compression. Half-pixel and quarter-pixel motion estimation can improve the video compression rate at the cost of higher computational complexity In this paper, we suggest a new efficient low-complexity algorithm for half-pixel and quarter pixel motion estimation. It is based on the experimental results that the sum of absolute differences(SAD) shows parabolic shape and thus can be approximated by using interpolation techniques. The sub-pixel motion vector is searched from the minimum SAD integer-pixel motion vector. The sub-pixel search direction is determined toward the neighboring pixel with the lowest SAD among 8 neighbors. Experimental results show that more than 20% reduction in computation time can be achieved without affecting the quality of video.

A Instructional Contents Creator using Wavelet for Lossless Image Compression (웨이브렛 기반 무손실 압축 방법을 사용한 동영상 강의 콘텐츠 제작기 구현)

  • Lee, Sang-Yeob;Park, Seong-Won
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.2
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    • pp.71-81
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    • 2011
  • In order to easily create video tutorials, the algorithm is needed that video camera recording, white board images, video attachments, and document data are combined in real-time. In this study, we implemented the video lecture content creation system using wavelet-based lossless compression to composite multimedia objects in real-time and reproduce the images. Using commercially available PC can be useful when lecturers want to make video institutional contents, it can be operated easily and fastly. Therefore, it can be very efficient system for e-Learning and m-Learning. In addition, the proposed system including multimedia synthesis technology and real-time lossless compression technology can be applied to various fields, different kinds of multimedia creation, remote conferencing, and e-commerce so there are highly significant.

Efficient H.264/AVC Video Scrambling Methods for Digital Rights Management (디지털 저작권 관리를 위한 효율적인 H.264/AVC 비디오 스크램블링 방법)

  • Kim, Soojin;Park, Geun;Cho, Kyeongsoon
    • KIPS Transactions on Computer and Communication Systems
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    • v.1 no.3
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    • pp.187-192
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    • 2012
  • This paper describes efficient H.264/AVC video scrambling methods for digital rights management. The proposed scrambling methods are to scramble level and suffix in entropy encoding and MVD in motion estimation of the H.264 video compression process. Other scrambling methods have been proposed but they degrade the compression efficiency or make it difficult to achieve real-time processing due to the large amount of computational efforts. Since the proposed scrambling methods resolve the drawbacks of other approaches, they do not cause image distortion and the original compression efficiency is maintained. We verified our scrambling methods and evaluated the performance by conducting several experiments with H.264 reference program. Finally, we implemented video player system using USB dongle in order to apply the proposed scrambling/descrambling methods to H.264 video compression.

Design of Object-based Video CODEC for the Mobile Video Telephony Using Hybrid Transform (모바일 영상통화 환경에 적합한 하이브리드 변환을 이용한 객체 기반 비디오 코덱 설계)

  • Jeon, Sung-Hye;Seo, Yong-Su;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.13 no.4
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    • pp.560-574
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    • 2010
  • Recently, many people can easily contact video telephony service through the mobile terminal owing to the commercialization of 3G communication technology. However, the quality of the serviced video telephony has been not good yet by the actual mobile restrictions. For solving quality problems, this paper presents the design of the object-based video CODEC using hybrid transform in mobile video telephony. The proposed design firstly segment each frame into a significant object and an insignificant object. The proposed design is to improve the quality of a significant object by limiting the bit rate of a insignificant object. Thus, we compress a significant object with high quality and low compression ratio and compress an insignificant object with low quality and high compression ratio. Furthermore, we control the bit rate of the video stream in the limited bandwidth by adjusting the compression ratio of each object. From experimental results, we confirmed that our method has more higher quality than methods in the conventional CODECs at the significant region on the same bit rate.