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检索条件"主题词=transform coding"

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Subject Caption Detection in News Video with Complex Picture

Subject Caption Detection in News Video with Complex Picture

引用

Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Chien-Cheng Lee Yu-Chun Chiang Cheng-Yuan Shih Department of Communications Engineering Yuan-Ze University Taoyuan Taiwan Department of Mechanical Engineering Yuan-Ze University Taoyuan Taiwan

We propose a method to detect story related subject captions in news video. This paper addresses two issues of caption detection problem. One is the time consuming in the feature computation, the other is the clutter of caption detection results. We first identify the subject caption region based on the frequency of text occurrence. After that, we detect the subject caption beginning frames. In this way, the computation time can be reduced significantly. Meanwhile, the uncorrected types of text are also filtered out, and only the subject caption is detected. Experimental results show that the proposed method can fast and robustly detect subject captions from news video.

关键词： Video compression Indexing Displays Discrete cosine transforms Layout Frequency Histograms transform coding Information retrieval Speech

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JPEG Steganography: A Performance Evaluation of Quantization Tables

JPEG Steganography: A Performance Evaluation of Quantization...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Adel Almohammad Gheorghita Ghinea Robert M. Hierons Brunei University UK

ISBN: (纸本)9781424440009

The two most important aspects of any image based steganographic system are the imperceptibility and the capacity of the stego image. This paper evaluates the performance and efficiency of using optimized quantization tables instead of default JPEG tables within JPEG steganography. We found that using optimized tables significantly improves the quality of stego-images. Moreover, we used this optimization strategy to generate a 16x16 quantization table to be used instead of that suggested. The quality of stego-images was greatly improved when these optimized tables were used. This led us to suggest a new hybrid steganographic method in order to increase the embedding capacity. This new method is based on both and Jpeg-Jsteg methods. In this method, for each 16 x 16 quantized DCT block, the least two significant bits (2-LSBs) of each middle frequency coefficient are modified to embed two secret bits. Additionally, the Jpeg-Jsteg embedding technique is used for the low frequency DCT coefficients without modifying the DC coefficient. Our experimental results show that the proposed approach can provide a higher information-hiding capacity than the other methods tested. Furthermore, the quality of the produced stego-images is better than that of other methods which use the default tables.

关键词： Steganography Quantization transform coding Discrete cosine transforms Image coding Pixel Frequency Testing Internet Image quality

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A cost-error optimized architecture for 9/7 lifting based Discrete Wavelet transform with balanced pipeline stages

A cost-error optimized architecture for 9/7 lifting based Di...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Alireza Aminlou Fatemeh Refan M.R. Hashemi Omid Fatemi Saeed Safari Multimedia Processing Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424423538

Discrete wavelet transform (DWT) is increasingly recognized in image/video compression standards, as indicated by its use in JPEG2000. The lifting scheme algorithm is an alternative DWT implementation that has a lower computational complexity. In this paper, a new high performance lifting-based architecture is presented for the 9/7 DWT engine. The proposed architecture has a balanced pipeline and improves both the computational error and hardware complexity for any given working frequency. In the proposed architecture, the constant coefficients are modified by introducing new variables to the conventional lifting structure to minimize hardware cost and computational error, imposed by quantization of coefficients. Simulation results indicate a quality improvement of up to 15 dB when compared to an architecture using the standard coefficients that has the same hardware cost and working frequency. Similarly, the hardware cost is reduced by about 20% when both architectures deliver the same PSNR when operating at the same frequency.

关键词： Discrete wavelet transforms Pipelines Computer architecture Hardware Frequency Costs Image recognition Video compression transform coding Computational complexity

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Image encryption using Discrete Parametric Cosine transform

Image encryption using Discrete Parametric Cosine Transform

引用

Asilomar Conference on Signals, Systems & Computers

作者： Yicong Zhou Karen Panetta Sos Agaian Department of Electrical and Computer Engineering Tufts University Medford MA USA Department of Electrical and Computer Engineering University of Technology San Antonio TX USA

ISBN: (纸本)9781424458257

This paper introduces a new effective image encryption algorithm using the Discrete Parametric Cosine transform (DPCT). The new algorithm transforms images into the frequency domain using the DPCT with a set of parameters, and then converts images back into the spatial domain using the inverse DPCT with a different set of parameters to obtain the encrypted images. Its security keys are the combination of the parameters of the DPCT and inverse DPCT. The simulation results show that the algorithm can fully or partially encrypt different types of digital images with efficiency while preserving the quality of the images. The algorithm can be used to protect different types of multimedia data. It can be also used for simultaneous data encryption and compression by embedding it in a data compression process such as JPEG.

关键词： Cryptography Discrete transforms Frequency domain analysis Image converters Security Digital images Protection Image coding Data compression transform coding

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Robust Image Watermarking Scheme Based on 3D-DCT

Robust Image Watermarking Scheme Based on 3D-DCT

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yonggang Fu College of Computer Engineering Jimei University Xiamen China

A robust image watermarking scheme based on 3-dimensional discrete cosine transform (3D DCT) is proposed for color image copyright protection. Firstly, the color image is divided into 3-D blocks, and then they are transformed into transform domain by 3D DCT transform, finally, the generated pseudo random sequence is embedded into the selected coefficients. Applying the nice correlatives among different color channels, the watermark can be embedded with good robustness. The theoretic analysis shows that the proposed method has good robustness over 2-D based method. Experimental results support the conclusion well.

关键词： Robustness Watermarking Discrete cosine transforms Discrete transforms Color transform coding Image coding Internet Protection Image processing

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Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain

Motion Vector Based Moving Object Detection and Tracking in ...

引用

International Workshop on Content-Based Multimedia Indexing, CBMI

作者： Takanori Yokoyama Toshiki Iwasaki Toshinori Watanabe Graduate School of Information Systems University of Electro-Communications Chofu Tokyo Japan

ISBN: (纸本)9781424442652

As MPEG standards prevail, the opportunities to handle MPEG compressed videos increase, and the video indexing and management that can directly process the compressed videos become important. MPEG video coding standards use motion compensation to compress video data, and the motion compensation generates motion vectors that contain motion information similar to optical flows between regions in different frames. Although motion vectors are useful for video analysis, they are not always generated along moving objects, and it is difficult to analyze moving objects using only these vectors. In this paper, we propose a moving object detection and tracking method in the MPEG compressed domain for video surveillance and management. In our method, we introduce images that record moving regions and accumulate unmoving regions in which the moving objects are expected to exist after the current frame. By utilizing these images, we can detect and track moving objects using only motion vectors even if the motion vectors of moving objects become zero vectors due to their behaviors and are lost due to their picture type. We demonstrate the effectiveness of the proposed method through several experiments using actual videos acquired by an MPEG video camera.

关键词： Object detection Tracking transform coding Image motion analysis Motion compensation MPEG standards Indexing Video coding Motion analysis Image coding

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A self-embedded watermarking scheme based on relationship function of corresponding inter-blocks DCT coefficient

A self-embedded watermarking scheme based on relationship fu...

引用

International Conference on Computer Supported Cooperative Work in Design

作者： Guobo Li Songwen Pei Gang Chen Wenjun Cao Baifeng Wu School of Computer Science Fudan University Shanghai China

ISBN: (纸本)9781424435340

In the realm of computer supported cooperative work in design (CSCWD), how to ensure the authenticity and integrity of an image plays important roles. This paper presents a novel semi-fragile image watermarking scheme for authenticating and recovering image content. The scheme also shows strong robustness on those images' content reserved operations. It can precisely detect and locate malicious operations and tampers, and recover main content of tampered image region. Firstly, it assigns the exclusive precursor block and successor block for every block to be a block circle link, and regards the function mapping result of DCT coefficients of neighboring blocks as watermark, and embeds it into middle-frequency domain of DCT coefficients of successor block to form a watermarked image. Secondly, it verifies the blocks, which have been maliciously operated and tampered, by detecting whether the DCT coefficients of neighboring blocks satisfy the relationship function after operations. Thirdly, it uses corresponding relationship function of neighboring blocks in the link to estimate DCT direct current coefficients (DC) and low-frequency coefficients of the tampered blocks and recovers their main content. The experimental results show that the scheme is effective and feasible.

关键词： Watermarking Discrete cosine transforms Collaborative work Authentication Digital signatures Image coding transform coding Image storage Quantization Cryptography

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Low complexity algorithm for Spatially Varying transforms

Low complexity algorithm for Spatially Varying Transforms

引用

Picture coding Symposium, PCS

作者： Cixun Zhang Kemal Ugur Jani Lainema Antti Hallapuro Moncef Gabbouj Tampere University of Technology Tampere Finland Nokia Research Center Tampere Finland

In our previous work, we introduced spatially varying transforms (SVT) for video coding, where the location of the transform block within the macroblock is not fixed but varying. SVT has lower decoding complexity compared to standard methods as only a portion of the prediction error needs to be decoded. However, the encoding complexity of SVT can be relatively high because of the need to perform rate distortion optimization (RDO) for each candidate location parameter (LP). In this work, we propose a low complexity algorithm operating on macroblock and block level to reduce the encoding complexity of SVT. The proposed low complexity algorithm includes selection of available candidate LP based on motion difference and a hierarchical search algorithm. Experimental results show that the proposed low complexity algorithm can reduce around 80% of the candidate LP tested in RDO with only marginal penalty in coding efficiency.

关键词： Encoding Decoding Video coding High definition video Automatic voltage control transform coding Rate-distortion Code standards Video codecs Algorithm design and analysis

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Analysing the performance of the algorithms used to localize the iris region in eye images submitted to severely compressed images

Analysing the performance of the algorithms used to localize...

引用

IEEE International Symposium on Intelligent Signal Processing

作者： Milena B. P. Carneiro Antonio C. P. Veiga Sandreane P. Silva Edna L. Flores Gilberto A. Carrijo Department of Electrical Engineering Federal University of Uberlândia UFU Uberlandia Minas Gerais Brazil

ISBN: (纸本)9781424450572

This work aims to evaluate how does the performance of the iris localization algorithms is influenced by severe compression of eye images used in an automatic iris recognition system. The correct localization of the iris region is essential to guarantee the credibility of the biometric recognition. As it is the first processing stage of the system, it is the first stage that can have its efficiency depredated by the quality loss of the images to be processed. Fractal compression and JPEG2000 compression were applied to a public iris images database. Two traditional methods which localize the circular borders of the iris and a method for detection of eyelids and eyelashes were applied to the compressed images and their efficiencies were evaluated. The results obtained with the simulations, when the images were submitted to several compression levels, lead to the important conclusion that segmentation stage does not represent a barrier for the utilization of compressed images in an iris recognition system.

关键词： Image analysis Performance analysis Algorithm design and analysis Image coding Iris recognition Biometrics Fractals transform coding Image databases Eyelids

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A Data-Mining Based Skin Detection Method in JPEG Compressed Domain

A Data-Mining Based Skin Detection Method in JPEG Compressed...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shiwei Zhao Li Zhuo Zhu Xiao Lansun Shen Signal and Information Processing Laboratory Beijing University of Technology Beijing China

A novel skin detection method in JPEG compressed domain has been proposed in this paper. Color and texture features of the image blocks are extracted from the entropy decoded DCT coefficients firstly. Then, data mining method, i.e. decision tree, is applied to establish the skin color model to describe the relationship between the features of image blocks and the skin detection results, afterwards, the initial skin regions are detected based on the skin color model. The skin regions are finally, segmented through region growing method. Experimental results show that, compared with the SPM (skin probability map) skin detection method in the pixel domain, the proposed method can achieve higher detection accuracy as well as higher speed.

关键词： Skin transform coding Image coding Data mining Entropy Decoding Discrete cosine transforms Decision trees Image segmentation Scanning probe microscopy

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