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检索条件"任意字段=Conference on Visual Communications and Image Processing 2002"

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Decision of image watermarking strength based on artificial neural-networks

Decision of image watermarking strength based on artificial ...

引用

International conference on Neural Information processing

作者： Shi-chun Mei Ren-hou Li Hong-mei Dang Yun-kuan Wang System Engineering Institute Xi'an Jiaotong University Xi'an Shaanxi China Shenzhen Zhongxing Telecom Limited Shenzhen Guangdong China

ISBN: (纸本)9810475241

Digital watermarking is a new technique for digital multimedia copyright protection. The robustness and the imperceptibility are the basic requirements of the digital watermark. The key factor that affects both the robustness and the imperceptibility of the digital watermark is the watermarking strength. In this paper, artificial neural network (ANN) is used to model human visual system (HVS) and an ANN-based image-adaptive method for deciding watermarking strength for image DCT coefficients is presented. The experimental results show that the method can increase the watermarking strength so that the robustness of digital watermark is enhanced and that the method has very good adaptability.

关键词： Watermarking Discrete cosine transforms Robustness Artificial neural networks Humans visual system Frequency Copyright protection image coding Systems engineering and theory

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Detection and localization of face feature area for man-machine interaction

Detection and localization of face feature area for man-mach...

引用

International conference on Signal processing Proceedings (ICSP)

作者： Shan Meng Youwei Zhang Wuyi University Jiangmen Guangdong China Beijing Aeronautics and Astronautics University Beijing China

ISBN: (纸本)0780374886

In this paper, we describe methods of detecting a human face and localizing the feature area in our man-machine interaction project. We use a simplified human skin color model for pre-segmenting the input image. From candidate areas we use linear Fisher discriminate analysis (LFDA) to choose the most like face area, then in the detected face area, we localize the feature area with LFDA and linear principal component analysis (LPCA). We use the method of the image pyramid to improve the searching speed. The results are presented on images from the Chinese audio visual speech recognition database (CAVSRD 1.0).

关键词： Face detection Man machine systems Humans Skin Principal component analysis Speech recognition image databases Spatial databases visual databases Audio databases

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Pattern based robust digital watermarking scheme for images

Pattern based robust digital watermarking scheme for images

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Aniruddha Sinha Amitava Das Sunil Pandith S Motorola India Electronics Private Limited Bangalore India

Digital Watermarking is an effective and popular technique to discourage illegal copying and distribution of copyrighted digital image information. The important attributes are the picture quality of the watermarked image (similarity to the original) and robustness to attacks such as cropping. We propose a transform-domain robust digital watermarking technique which uses a pattern-based compression of the watermark image, an intelligent dynamic embedding of the signature bits and a post-watermarking content-based visual masking technique to deliver high image quality and robustness in retaining watermark content against attacks (cropping).

关键词： image coding Watermarking Robustness Discrete cosine transforms Lead Laboratories PSNR

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Combating geometrical attacks in a DWT based blind video watermarking system

Combating geometrical attacks in a DWT based blind video wat...

引用

IEEE Region 8 International Symposium on Video/image processing and Multimedia communications (EURASIP)

作者： C.V. Serdean M.A. Ambroze M. Tomlinson G. Wade Department of Communication & Electronic Engineering University of Plymouth Plymouth UK Department of Electrical & Computer Engineering University of Newcastle Callaghan NSW Australia

This paper describes a high capacity blind video watermarking system invariant to geometrical attacks such as shift, rotation, scaling and cropping. A spatial domain reference watermark is used to obtain invariance to geometric attacks by employing image registration techniques to determine and invert the attacks. A second, high capacity watermark, which carries the data payload, is embedded in the wavelet domain according to a human visual system (HVS) model. This is protected by a state-of-the-art error correction code (turbo code). The proposed system is invariant to scaling up to 180%, rotation up to 70/spl deg/ and arbitrary aspect ratio changes up to 200% on both axes. Furthermore, the system is virtually invariant to any shifting, cropping, or combined shifting and cropping.

关键词： Discrete wavelet transforms Watermarking image registration Payloads Wavelet domain Humans visual system Protection Error correction codes Turbo codes

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Wavelet-based digital watermarking for image authentication

Wavelet-based digital watermarking for image authentication

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： A.H. Paquet R.K. Ward Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

We present a novel watermarking scheme to ensure the credibility of digital images. The proposed technique is able to detect malicious tampering of images even if they have been incidentally distorted by basic image processing operations. Our system is based on the quantization of wavelet packet coefficients and uses characteristics of the human visual system to maximize the embedding weights while keeping good perceptual transparency. We develop an image-dependant method to evaluate, in the discrete wavelet domain, the optimal quantization steps allowing the tamper proofing of still images. The nature of multiresolution discrete wavelet decomposition allows the spatial and frequency localization of image tampering. Experimental results are presented to demonstrate the capacity of our system to detect unauthorized modification of images while staying robust to image compression.

关键词： Watermarking Authentication Quantization Discrete wavelet transforms Digital images image processing Wavelet packets Humans visual system Wavelet domain

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System for active video observation over the Internet

System for active video observation over the Internet

引用

IEEE Region 8 International Symposium on Video/image processing and Multimedia communications (EURASIP)

作者： B. Batagelj P. Peer F. Solina Faculty of Computer and Information Science Computer Vision Laboratory University of Ljubljana Ljubljana Slovenia

We have designed a system with an intuitive user interface for remote camera control and image-based queries over the Internet. While searching for present solutions we realized the importance of a well-designed user interface. We developed a system, which enables remote observation and remote control of the JVC network camera over the Internet. The user interface is based on the combination of live video and a static panoramic view of a remote location. It provides a complete overview of a remote location and significantly simplifies the control over the Internet. By interactively moving a rectangular frame in the panoramic picture, the user locally selects the new direction of the camera. visual summaries of activities at the observed location can be generated as well as custom queries with a simple user interface over the Internet.

关键词： Internet User interfaces Computer vision Control systems image databases Web server Digital cameras Streaming media Network servers visual databases

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visual speech feature extraction for improved speech recognition

Visual speech feature extraction for improved speech recogni...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： X. Zhang R. M. Mersereau M. Clements C. C. Broun Center for Signal & Image Processing Georgia Institute of Technology Atlanta GA USA Center for Signal & Image Processing Georgia Institute of Technology Atlanta GA Motorola Human Interface Labs Tempe Arizona USA

Mainstream automatic speech recognition has focused almost exclusively on the acoustic signal. The performance of these systems degrades considerably in the real world in the presence of noise. On the other hand, most human listeners, both hearing-impaired and normal hearing, make use of visual information to improve speech perception in acoustically hostile environments. Motivated by humans' ability to lipread, the visual component is considered to yield information that is not always present in the acoustic signal and enables improved accuracy over totally acoustic systems, especially in noisy environments. In this paper, we investigate the usefulness of visual information in speech recognition. We first present a method for automatically locating and extracting visual speech features from a talking person in color video sequences. We then develop a recognition engine to train and recognize sequences of visual parameters for the purpose of speech recognition. We particularly explore the impact of various combinations of visual features on the recognition accuracy. We conclude that the inner lip contour features together with the information about the visibility of the tongue and teeth significantly improve the performance over using outer contour only features in both speaker dependent and speaker independent recognition tasks.

关键词： Feature extraction Hidden Markov models

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Contrast based color segmentation with adaptive thresholds

Contrast based color segmentation with adaptive thresholds

引用

IEEE International conference on image processing

作者： Hsin-Chia Chen Wei-Jung Chien Sheng-Jyh Wang Department of Electronics Engineering Institute of Electronics National Chiao Tung University Hsinchu Taiwan

In this paper, we propose a color segmentation algorithm based on contrast information and adaptive thresholds. Given a color image, instead of the commonly used achromatic difference and chromatic difference, we use achromatic contrast and chromatic contrast to represent the significance of boundary. To fit for human visual perception, adaptive thresholds are applied to suppress perceptually faint boundaries. A complete segmentation scheme is proposed and the simulation results demonstrate the superiority of this approach in providing reasonable and reliable color segmentation.

关键词： image segmentation Color visual perception image edge detection Histograms Humans Data mining Object detection Predictive coding Clustering algorithms

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A model of motion attention for video skimming

A model of motion attention for video skimming

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IEEE International conference on image processing

作者： Yu-Fei Ma Hong-Jiang Zhang Microsoft Research Asia Beijing China

One of the key issues in video manipulation is video abstraction in the form of skimmed video. For this purpose, an important task is to determine the content significance of each chunk of frames in a video sequence. In this paper, we present a new computational model of motion attention and the approach to applying this model in video skimming. The effectiveness of our architecture and model is demonstrated by user studies of visual skimming experiments. The results indicate that the precision of motion attention detection is over 80%, and the user satisfaction of visual skimming is beyond 70%.

关键词： Cameras Video sequences Computational modeling Control systems Asia Computer architecture Motion detection image sequence analysis Machine vision Power system modeling

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Rate adaptation transcoding for precoded video streams 02

Rate adaptation transcoding for precoded video streams

引用

10th International conference of Multimedia

作者： Lei, Zhijun Georganas, Nicolas D. Multimedia Commun. Res. Laboratory Sch. of Info. Technol./Engineering University of Ottawa Ottawa Ont. Canada

ISBN: (纸本)9781581136203

In order to transmit pre-encoded digital video over heterogeneous networks, it is necessary to employ transcoding techniques that convert pre-encoded video streams into streams having different bit rates and quality. The specified problem is referred to as rate shaping or rate adaptation. In this work, we propose a new rate control scheme for H.263+ based video transcoding. The proposed rate control scheme is comprised of Frame-Layer bit allocation and Macroblock-Layer rate control. At the frame layer, scene context statistics from the incoming video stream are utilized to detect scene changes and determine frame type. The bit budget is allocated to frames according to their energy and frame types. At the macroblock layer, a novel linear Rate-Quantization model is used for selecting quantization parameters for macroblocks. Implementation and experimental results show that the proposed algorithm can provide accurate bit allocation, and can effectively alleviate visual quality degradation after scene changes. This rate adaptation scheme can be used to provide flexible video bit rate adaptation for transmission of pre-encoded video over heterogeneous networks.

关键词： image processing

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