Selective encryption is a technique to encrypt a portion of the video data. In this case, it is encrypted by RSA algorithm. It is one of the public - key cryptosystem that is used to provide privacy and authentication...
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Selective encryption is a technique to encrypt a portion of the video data. In this case, it is encrypted by RSA algorithm. It is one of the public - key cryptosystem that is used to provide privacy and authentication of digital data. Security of this algorithm lies in the difficulty of factoring very large modulus n. In this project, the video format are MPEG - 1 and MPEG - 2, because they have almost the same bit stream structure, so the processing by using an algorithm. In this final project will be built a software using the Java platform. Testing on this project to encrypt and decrypt video formats, MPEG-1 and MPEG-2, so the security of video can be realized by using the method of selective encryption. Other parameters are the key length in the RSA algorithm which has been adapted and Brute Force Attacks.
Content-aware compression based on the use of saliency maps aims to improve the interpretability of an image by encoding the more relevant image regions with a higher quality than the rest of the image. This paper rev...
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Content-aware compression based on the use of saliency maps aims to improve the interpretability of an image by encoding the more relevant image regions with a higher quality than the rest of the image. This paper revisits two convolutional neural network (CNN) models based on VGG16, multi-structure region of interest (MS-ROI) and class activation map (CAM), which enable the localization of salient image regions. While the MS-ROI model allows for the localization of multiple salient image regions, the CAM model, on the other hand, tends to localize only the most relevant class. We use the contextual information provided by the obtained saliency maps to guide the compression. By encoding more important image regions at a higher bitrate and less important ones at a lower bitrate, different qualities of compression for the regions of interest and the background are obtained, while also achieving smooth transitions from salient to non-salient regions. The performance of both models is evaluated on images from the MIT Saliency Benchmark dataset and the General-100 dataset, and the results of the compression are compared to the standard JPEG compression at different quality factors. Experimental results show that for the files of approximately same size, the compression methods based on the two CNN models outperform the standard JPEG compression. When comparing the compression based on the MS-ROI model to the compression based on the CAM model, the former is characterized by a higher PSNR and a better visual quality of the obtained images.
JPEG2000 is the newest image coding standard which provides flexible scalability. Designing an encryption system for scalable JPEG200 codestream is becoming a new challenge. Wu et al. (2007) proposed a flexible access...
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ISBN:
(纸本)9780769531342
JPEG2000 is the newest image coding standard which provides flexible scalability. Designing an encryption system for scalable JPEG200 codestream is becoming a new challenge. Wu et al. (2007) proposed a flexible access control scheme for JPEG2000 codestream. However, it needs key regeneration whenever users change the preferred progression order. In this paper, we propose an improved flexible access control scheme for JPEG2000 codestreams based on multi-dimensional hash chains (MDHC), in which the keys need not to be regenerated whenever different progression order of packets is required. In particular, we employ multiple hash chains to generate a series of keys to encrypt each packet in the codestream. Furthermore, users can access the encrypted codestream according to any authorized combinations of resolution, quality layer and precinct with as few as possible keys. Also, our proposed scheme is secure against collusion attack as well as unauthorized access.
With the development of the Networks Convergence in China, the multi-screen interaction has been nearer and nearer to us. In order to build a unified service platform which supports the multi-screen interaction, A gen...
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ISBN:
(纸本)9781467347129
With the development of the Networks Convergence in China, the multi-screen interaction has been nearer and nearer to us. In order to build a unified service platform which supports the multi-screen interaction, A general application architecture is proposed for the Real-Time streaming media, which supports various platform and terminal. By employing virtual reality, MPEG-4 CODEC, interprocess communication technology and Real-Time streaming media transmission protocol, the Real-Time streaming media system is implemented, which verified the feasibility of the application architecture for multi-screen interaction service.
In this paper, we present the WWW (World-Wide-Web)-based TelePACS, which uses the communication network as Asymmetric Satellite Data Communication System (ASDCS). Web-based TelePACS is implemented with JAVA language. ...
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In this paper, we present the WWW (World-Wide-Web)-based TelePACS, which uses the communication network as Asymmetric Satellite Data Communication System (ASDCS). Web-based TelePACS is implemented with JAVA language. Through the Internet, Web-based TelePACS can make it possible for remote hospital or doctor to access PACS data and information easily and cheaply. The ASDCS uses receive-only satellite links for data delivery and PSTN (Public Switched Telephone Network) modem or N-ISDN (Narrow band Integrate Services Digital Network) for communication. The satellite communication linking shows the very high-speed performance such as 10-30 times faster than the modem linking. To solve the speed limits of Internet, JPEG and wavelet compression methods were adapted in WWW-based TelePACS and were evaluated by PSNR (Peak Signal-to-Noise Ratio) and by radiological experts that 10:1 or less JPEG and wavelet compression may be acceptable for diagnostic purposes. Consequently, we get the conclusion that our system is suitable for teleradiology and telemedicine world wide.
A recently proposed model, known as blind/referenceless image spatial quality evaluator (BRISQUE), achieves the state-of-the-art performance in context of blind image quality assessment (IQA). This model used the pred...
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ISBN:
(纸本)9781479961405
A recently proposed model, known as blind/referenceless image spatial quality evaluator (BRISQUE), achieves the state-of-the-art performance in context of blind image quality assessment (IQA). This model used the predefined generalized Gaussian distribution (GGD) to describe the regularity of natural scene statistics, introducing fitting errors due to variations of image contents. In this paper, a more generalized model is proposed to better characterize the regularity of extensive image contents, which is learned from the concatenated histograms of mean subtracted contrast normalized (MSCN) coefficients and pairwise products of MSCN coefficients of neighbouring pixels. The new feature based on MSCN shows its capability of preserving intrinsic distribution of image statistics. Consequently support vector machine regression (SVR) can map it to more accurate image quality scores. Experimental results show that the proposed approach achieves a slight gain from BRISQUE, which indicates the crafted GGD modelling step in BRISQUE is not essential for final performance.
A pole-zero adaptive algorithm is presented for selective spectral matching. This algorithm is capable of forming highly selective spectral envelopes for accurate fitting of frequency components. This adaptive techniq...
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A pole-zero adaptive algorithm is presented for selective spectral matching. This algorithm is capable of forming highly selective spectral envelopes for accurate fitting of frequency components. This adaptive technique can be employed to reduce the data rate in transform coding of speech, by efficiently 'packing' magnitude and phase information on a spectral envelope. Pole-zero algorithms have been developed and employed in system identification, as well as in spectral matching. In this work, a frequency-selective adaptive process is proposed for the spectral matching of the harmonic frequency components of speech. This process is based on the equation-error adaptive model.< >
This paper proposes the use of generalized finite automata (GFA) as a method for retrieving the image self-similarity to be used as a measure for benchmarking semi-fragile image authentication techniques. A comparison...
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This paper proposes the use of generalized finite automata (GFA) as a method for retrieving the image self-similarity to be used as a measure for benchmarking semi-fragile image authentication techniques. A comparison between PSNR as a conventional-method and the proposed self-similarity measure for several types of images was conducted. These comparisons show that the self-similarity measure has a better correlation with the image perceptual quality than the conventional PSNR. Furthermore, the self-similarity can be used to determine the maximum level of JPEG compression that should be used to benchmark a group of image authentication techniques
In this paper, we propose the depth estimation and view synthesis approaches for the scene rendering of narrow-baseline videos. Depth estimation is performed by global energy minimization using graph cut technique. A ...
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ISBN:
(纸本)9781467302180
In this paper, we propose the depth estimation and view synthesis approaches for the scene rendering of narrow-baseline videos. Depth estimation is performed by global energy minimization using graph cut technique. A novel smoothness energy term is proposed to enforce powerful smoothness of the estimated depth. In view synthesis, smart hole filling is proposed to efficiently remove the burr artifacts along the object boundary. Experimental results show that compared with the MPEG reference software, our method can generate more accurate depth maps and achieve much better objective (PSNR) and subjective quality in view synthesis.
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