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image SEQUENCE RECOGNITION

IMAGE SEQUENCE RECOGNITION

引用

conference on visual communications and image processing 94

作者： TASCINI, G ZINGARETTI, P UNIV ANCONA INST INFORMATI-60100 ANCONAITALY

ISBN: (纸本)081941638X

image sequence recognition is an interesting problem involved in various situations of the Computer Vision field and in particular in mobile robot vision. Typical for this purpose is the motion estimation from a series of frames. Many techniques of motion estimation are described in literature 10, 13, 22 The approaches are normally divided in two categories: pixel based methods and feature based methods. In both the motion is estimated in two steps: 1) 2D motion analysis (feature based) or estimation (pixel based), 2) 3D motion estimation. The pixel based, or flow based, method uses local changes in light intensity to compute optical flow at each image point and then derives 3D motion parameters . The feature based method, on which it falls our choice, firstly extracts the features (as corners, point of curvature, lines, etc.). They are used as features: sharp changes in curvature 15, global properties of moving objects 18, lines and curves 16, centroids 6 Secondly it establishes the correspondences of these features between two successive frames (correspondence problem), and finally it computes motion parameters and object structure from correspondences (structure from motion problem). The motion correspondence is the most difficult problem. Occlusion masks the features and noise creates difficulties. Given n frames taken at different time instants and m points in each frame, the motion correspondence maps a point in one frame to another point in the next frame such that no two points map on the same point. The combinatorial explosiveness of the problem has to be constrained; in Rangarajan and Sah 19 it is proposed the proximal uniformity constraint: given a location of a point in a frame, its location in the next frame lies in the proximity of its previous location. Even tough the problem has not yet been solved, many solutions are proposed for 3D motion estimation, assuming that the correspondences has been established 12, 13, 24 Regularization theory has also be

关键词： Motion estimation Data modeling Detection and tracking algorithms 3D modeling Chemical elements Sensors 3D image processing image segmentation Cameras image acquisition

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MODEL-BASED image-CODING

MODEL-BASED IMAGE-CODING

引用

conference on visual communications and image processing 94

作者： AIZAWA, K UNIV TOKYO DEPT ELECT ENGNBUNKYO KUTOKYO 113JAPAN

ISBN: (纸本)081941638X

Historically. progress in image coding tecliniqnes has been made by incorporating resnits from other fields SUCh as information theory. Most of the existing coding methods such as predictive coding. transform coding, and vector quantization belong to information-theory-based methods in which image signals are considered as ranidoni signals aiid compressed by exploiting their stochastic properties. Apart from these iiiformation-tlieoretic coding iniethods, research on new approaches such as modelbased coding (which is related to 1)0th image analysis and computer graphics) has recently intensified. An essential difference between conventional coding methods and these new approaches is the image model they assume. Contrary to conventional coding methods which efficiently represent 2-D waveforms of image signals model-based co ding represent iniage signals using structural image models which take into accomit the 3-D properties of the scene in some sense. There have been two major approaches to model-based image coding. One approach uses general niodels such as planar patches and sniooth surfaces to represent the 3-D properties of the oI)jects [11, 19, 28. 31, 33. 36, 39. 40, 43]. The other approach utilizes detailed 1)arameterized 3-D object models such as a parameterized facial model [2. 6, 13. 15. 17, 22. 24. 2G. 32, 35. 41. 47, 48. 49. 51. 54]. TIne former approach has been discussed in the context of advanced motion compensation. The latter approach is clearly different from the conventional approaches. since it uses an explicit 3—D model and encodes images with coniputer—vision— Oiieiite(il tecliniques an(I 1eJ)1()(luces iniages with colnj)uter—grapllics—oriented techniques . Both approaches will potentially achieves very low l)it rate video compression. Iii the following sectionis. unage co(ling schemes are described froni the point of view of their associated image IIli)delS. Amoiig our works related to these paradignins in the Univ. of Tokyo [2. 3, 4. 8, 9, 10,

关键词： 3D modeling Motion models image compression Model-based design 3D image processing Data modeling image analysis Motion estimation Solid modeling Systems modeling

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A distortion measure for image artifacts based on human visual sensitivity

A distortion measure for image artifacts based on human visu...

引用

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

作者： S.A. Karunasekera N.G. Kingsbury Signal Processing and Communications Laboratory Department of Engineering University of Cambridge Cambridge UK

A visual model which gives a distortion measure for coding artifacts in images is presented. Given the original and the reproduced image as inputs, the model output is a numerical value, which quantifies the visibility of error in a region of the reproduced image. The model aims to predict accurately the visibility of the common types of coding artifacts blocking, ringing and blurring. visual sensitivity to these artifacts is measured using psyche-visual experiments. The sensitivity measures thus obtained are used to derive the visual model which predicts the visibility of error. The final model is tested on real images, and the results show that the error visibility predicted by the model correlates well with the subjective ranking.< >

关键词： Distortion measurement Humans Predictive models image edge detection image coding Particle measurements Psychology Testing visual perception Frequency

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Masking and quantization laws in a visual subband coding scheme

Masking and quantization laws in a visual subband coding sch...

引用

IEEE International conference on image processing

作者： A. Saadane H. Senane D. Barba Ireste Lati Sei LaChantrerie Nantes France

To design psychovisual quantizers, experiments based on the visibility of the quantization noise have been conducted by Saadane, Senane and Barba (see visual communications and image processing, Oct. 1994). The results obtained show that for a given visual decomposition scheme and within a subband, the decision thresholds and reconstruction levels follow a linear law with an interval quantization varying with frequency and orientation. In this paper, and in order to examine the masking effects on the perception of quantization noise, further experiments have been conducted by keeping the same methodology and the same decomposition scheme as Saadane et. al. Two important results have been obtained. First the masking didn't affect the linear behavior observed when no masking was considered. Secondly, with the contrast definition used, and even a slight increase in the quantization interval has been observed for the radial subbands, the masking was essentially due to the angular subbands.< >

关键词： Quantization Frequency Degradation Psychology Gratings Equations image reconstruction Humans visual system image coding

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A block transform coder for arbitrarily shaped image segments

A block transform coder for arbitrarily shaped image segment...

引用

IEEE International conference on image processing

作者： H.H. Chen M. Reha Civanlar B.G. Haskell Visual Communications Research Department AT and T Bell Laboratories Inc. Holmdel NJ USA

This paper describes a method for coding arbitrarily shaped image segments. The method uses an iterative technique based on the theory of successive projection onto convex sets to determine the best transform coefficients. It uses block transforms with frequency domain region-zeroing and space domain region-enforcing operations for effective coding of image segments of arbitrary shape. A major strength of this method is that it can be implemented in real-time using existing codec hardware at an insignificant additional cost.< >

关键词： image segmentation image coding Shape Karhunen-Loeve transforms Transform coding Codecs Hardware image representation Discrete transforms visual communication

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Tree based motion compensated video coding

Tree based motion compensated video coding

引用

IEEE International conference on image processing

作者： R. Leonardi H. Chen Visual Communications Research Department Visual Communications Research Department AT and T Bell Laboratories Holmdel NJ USA Signals Communications Laboratory Department of Electronics for Automation University of Brescia Brescia Italy

We present a novel technique to encode video sequences, that performs a region-based decomposition of each frame on the basis of motion information. Using the segmentation map, any region in a frame to be encoded will be predicted from a single reference frame, using motion compensated prediction. The use of a single reference frame avoids feedback of the prediction error information in the prediction of successive frames. Coding is simply obtained by describing the segmentation map and the associated motion information. Error information will not be provided for low bit-rate applications. The segmentation map is described using a quadtree structure. Within such a tree structure, we show how motion information can be predicted either spatially or temporally, so as to minimize redundancy of information. The motion and segmentation information are estimated on the basis of a two stage process using the frame to be encoded and the reference frame: (1) a hierarchical top-down decomposition; (2) a bottom-up merging strategy. The proposed posed method is used to encode to encode QCIF video sequences with a reasonable duality at a 10 frame/s rate using roughly 20 kbit/s.< >

关键词： Video coding Video sequences Bandwidth Video compression Context Encoding image sequences Automation Postal services visual communication

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Self-organizing segmentor and feature extractor

Self-organizing segmentor and feature extractor

引用

IEEE International conference on image processing

作者： R.D. Dony S. Haykin Communications Research Laboratory McMaster University Hamilton ONT Canada

Proposes a novel approach to segmentation using a combination of Hebbian learning and competitive learning in a self-organizing manner. The network is modular, with each module corresponding to a different class of the input data. A module consists of a weight vector that is calculated during an initial training period. The appropriate class for a given input vector is determined by a maximum entropy classifier. The resulting network consistently extracts perceptually relevant features from image data. As well, the class representations are analogous to the arrangement of directionally sensitive columns in the visual cortex.< >

关键词： Feature extraction Entropy Equations image coding Tellurium Vectors Transform coding image segmentation Distortion Upper bound

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image visual quality restoration by cancellation of the unmasked noise

Image visual quality restoration by cancellation of the unma...

引用

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

作者： B. Macq M. Mattavelli O. Van Calster E. Van der Plancke S. Comes W. Li Laboratoire deTélécommunications et Téléélédétection Université Catholique de Louvain Louvain-la-Neuve Belgium

The aim of image restoration is to find an estimate of the ideal image using a priori information about blur and/or noise and/or the ideal image. Classical criterion are minimum least square, minimum mean square error or maximum a posteriori probability. The choice of the criterion used to measure the estimation quality is crucial for the design of the restoration algorithm. The authors propose a new criterion based on a visual model: it is based on perceptual masking. Thereafter, they propose a new restoration algorithm dealing only with additive noise. The perceptual components of the image to restore which are corrupted by an additive noise above a visibility threshold are simply set to zero. Some results obtained for the post-processing of JPEG images are presented.< >

关键词： image restoration Noise cancellation Background noise Noise figure Algorithm design and analysis Additive noise Humans image reconstruction Least squares methods Signal to noise ratio

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A pel adaptive reduction of coding artifacts for MPEG video signals

A pel adaptive reduction of coding artifacts for MPEG video ...

引用

IEEE International conference on image processing

作者： Y. Nakajima H. Hori T. Kanoh Visual Communications Group KDD Research and Development Laboratories Ohara Saitama Japan

Proposes a pel adaptive image restoration algorithm for coded video signals, where ringing effects near sharp edges are smoothed out and blocking effects are removed without blurring edges at the decoder. The basic idea in this algorithm is that noise in block coded images is estimated from local statistics of image and quantization information and that each pixel data is estimated adaptively using linear least mean square error method. Since local mean and local variance for each pixel are the main calculation in the proposed algorithm, it is readily adaptable to real-time image processing. The simulation examples of processed images coded by MPEG are presented to demonstrate that a significant improvement in subjective quality has been achieved.< >

关键词： image coding Transform coding Decoding Video compression image restoration Error analysis Degradation image reconstruction Quantization Pixel

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Speech-assisted video processing: interpolation and low-bitrate coding

Speech-assisted video processing: interpolation and low-bitr...

引用

Asilomar conference on Signals, Systems & Computers

作者： Tsuhan Chen H.P. Graf Kuansan Wang AT and T Bell Laboratories Inc. Holmdel NJ USA

We utilize speech information to improve the quality of audio/visual communications, such as videotelephony, videoconferencing, and multimedia. In particular, marriage of speech processing and image processing can solve problems related to lip synchronization. Two main techniques proposed in this paper are: speech-assisted interpolation and speech-assisted coding of talking head video. Audio/video sequences are presented to demonstrate our techniques.< >

关键词： Interpolation Mouth image coding Head Speech coding Video coding Speech analysis Teleconferencing Speech processing Bit rate

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