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visual communications and image processing 2007

ISBN: (纸本)0819466212

The proceedings contain 53 papers. The topics discussed include: real-time video coding under power constraint based on H.264 codec;rate-prediction structure complexity analysis for multi-view video coding using hybrid genetic algorithms;spatial and temporal models for texture-based video coding;content-adaptive motion estimation for efficient video compression;feature point tracking combining the interacting multiple model filter and an efficient assignment algorithm;a robustfied hidden Markov model for visual tracking with subspace representation;geometrical image filtering with connected operators and image inpainting;maximum-entropy expectation-maximization algorithm for image processing and sensor networks;mathematical aspects of shape analysis for object recognition;the algebra and statistics of generalized principal component analysis;and segmentation of multivariate mixed data via lossy coding and compression.

关键词： visual communication

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Proceedings of SPIE-IS and T Electronic Imaging - visual communications and image processing 2007

Proceedings of SPIE-IS and T Electronic Imaging - Visual Com...

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visual communications and image processing 2007

ISBN: (纸本)0819466212

关键词： Imaging systems

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Residential Real Estate image Classification for Property Valuation

Residential Real Estate Image Classification for Property Va...

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28th International Conference on image processing, Computer Vision, and Pattern Recognition, IPCV 2024, and 23rd International Conference on Information and Knowledge Engineering, IKE 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

作者： Nejad, Mehrdad Ziaee Naderpour, Mohsen Behbood, Vahid Ramezani, Fahimeh Lu, Jie 15 Broadway UltimoNSW2007 Australia

ISBN: (纸本)9783031859328

Residential real estate price is one of the key components of our economic developments and has also been a major concern of the public, bank industry, government, and investors. The accurate estimation of the sale price and its changes have an important role in the decision-making of related departments and organizations. In Australia, one of the biggest investments for people is in residential real estate. Therefore, many studies and research works have been carried out to build an automated valuation model to predict sale prices of residential properties accurately as much as possible. Automatic and accurate image classification of residential real estate plays an important role in property valuation and decision making of both sellers and buyers. It can be used in real estate online websites to organize the images for each property or used as a component in a visual decision support system for predicting the property sale prices based on property images. As convolutional image classification models show valuable performance in comparison with traditional models, a convolutional classification model is developed in this paper which creates a highly reliable classification component to be used in the corresponding research areas. The performance of the proposed model is investigated through a real dataset of New Sales Wales, Australia. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Quality enhancement of printed-and-scanned images using distributed coding

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SIGNAL processing 2007年第6期87卷 1301-1313页

作者： Voloshynovskiy, S. Koval, O. Deguillaume, F. Pun, T. Univ Geneva CUI CH-1211 Geneva 4 Switzerland

In this paper we address visual communications via print-and-scan channels from an information-theoretic point of view as communications with side information that targets quality enhancement of visual data at the output of this type of channels. The solution to this problem addresses important aspects of multimedia data processing and management. A practical approach to side information communications for printed documents based on Wyner-Ziv and Gray setups is analyzed in the paper that assumes two separated communications channels where an appropriate distributed coding should be elaborated. The printing channel is considered to be a direct visual channel for images ("analog" channel with degradations). The "digital channel" is considered to be an appropriate auxiliary channel exploited to communicate the information exploited for quality enhancement of printed-and-scanned image. We demonstrate both theoretically and practically how one can benefit from this sort of "distributed paper communications". (c) 2006 Elsevier B.V. All rights reserved.

关键词： data-hiding printed-and-scanned documents communications with side-information bar codes distributed coding joint source-channel coding Gel'fand-Pinsker problem Wyner-Ziv coding gray coding image enhancement

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Looking for intelligent image treatment and manipulation: An information processing approach

Looking for intelligent image treatment and manipulation: An...

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Joint Meeting of the 14th International Workshop on Systems, Signals and image processing/EURASIP Conference Focused on Speech and image processing, Multimedia communications and Services

作者： Diamant, Emanuel VIDIA Mant IL-55100 Kiriat Ono Israel

ISBN: (纸本)9789612480363

We are living in the Information Age, and information has become a critically important component of our life. Due to the success of the Internet, the amount of available information, including immense volumes of visual information, is growing explosively. Therefore means for its faultless circulation and handling are urgently required. Considerable research efforts are dedicated today to address this necessity, but they are seriously hampered by the lack of a common agreement about "What actually is visual information?" Without answering this question, all our remarkable efforts inevitably end up as a plain alchemy. I am trying to rind out a remedy for this bizarre and absurd situation. I propose my own definition of information (derived from the Kolmogorov's complexity theory), and from this point of view, attempt to revise the state of the art of contemporary image processing convention.

关键词： visual information image information processing image understanding CBIR and image search

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Geometrical image filtering with connected operators and image inpainting

Geometrical image filtering with connected operators and ima...

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Conference on visual communications and image processing 2007

作者： Dimiccoli, Mariella Salembier, Philippe Tech Univ Catalonia Dept Signal Theory & Commun Jordi Girona 1-3 Barcelona 08034 Spain

ISBN: (纸本)9780819466211

This paper deals with the joint use of connected operators and image inpainting for image filtering. Connected operators filter the image by merging its flat zones while preserving contour information. image inpainting restores the values of an image for a destroyed or consciously masked subregion of the image domain. In the present paper, it will be shown that image inpainting can be combined with connected operators to perform an efficient geometrical filtering technique. First, connected operators are presented and their drawbacks for certain applications are highlighted. Second, image inpainting methodology is introduced and a structural image inpainting algorithm is described. Finally, a general filtering scheme is proposed to show how the drawbacks of connected operators can be efficiently solved by structural image inpainting.

关键词： image inpainting connected operators mathematical morphology partial differential equations

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Post-processing for decoding without update step in motion-compensated lifted wavelet video coding

Post-processing for decoding without update step in motion-c...

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Conference on visual communications and image processing 2007

作者： Mavlankar, Aditya Flierl, Markus Girod, Bernd Stanford Univ Max Planck Ctr Visual Comp & Commun Stanford CA 94305 USA

ISBN: (纸本)9780819466211

Motion-compensated temporal filtering is an open-loop coding technique, which generally employs a motion-compensated update step. Although the update step is essential at the encoder for good rate-distortion efficiency, it might be skipped at the decoder for benefits like lower complexity and lower playout delay. Previous investigations showed that skipping the update step at the decoder results in some quality degradation at high rates. In this paper we analyze how this degradation arises and also propose a simple method to reduce this degradation. The proposed solution can also be implemented as a post-processing procedure after conventional decoding without the update step. Experimental results show that the degradation in quality is reduced by half. For our t+2D wavelet coder, this gives a gain of similar to 1.0 - 1.5 dB at high bit-rates.

关键词： motion-compensated lifted wavelet transform motion-compensated temporal filtering update step post-processing

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View interpolation by inverse filtering: Generating the center view using multiview images of circular camera array

View interpolation by inverse filtering: Generating the cent...

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Conference on visual communications and image processing 2007

作者： Kubota, Akira Kodama, Kazuya Hatori, Yoshinori Tokyo Inst Technol Midori Ku Yokohama Kanagawa 227 Japan Natl Inst Informat Tokyo Japan

ISBN: (纸本)9780819466211

This paper deals with a view interpolation problem using multiple images captured with a circular camera array. An inverse filtering method for reconstructing a virtual image at the center of the camera array is proposed. First, we generate a candidate image by adding all correspondence pixel values based on multiple layers assumed in a scene. Second, we model a linear relationship between the desired virtual image and the candidate image, and then derive the inverse filter to reconstruct the virtual image. Since we can derive the inverse filter independent of the scene structure, the proposed method requires no depth estimation. Simulation results using synthetic images show that increasing the number of cameras and layers improves the quality of the virtual image.

关键词： view interpolation image-based rendering inverse filter camera array

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Maximum-entropy expectation-maximization algorithm for image processing and sensor networks

Maximum-entropy expectation-maximization algorithm for image...

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Conference on visual communications and image processing 2007

作者： Hong, Hunsop Schonfeld, Dan Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA

ISBN: (纸本)9780819466211

In this paper, we propose a maximum-entropy expectation-maximization algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constraint is imposed in order to ensure smoothness of the estimated density function. The exact derivation of the maximum-entropy expectation-maximization algorithm requires determination of the covariance matrix combined with the maximum entropy likelihood function, which is difficult to solve directly. We therefore introduce a new lower-bound for the EM algorithm derived by using the Cauchy-Schwartz inequality to obtain a suboptimal solution. We use the proposed algorithm for function interpolation and image segmentation. We propose the use of the EM algorithm for image recovery from randomly sampled data and signal reconstruction from randomly scattered sensors. We further propose to use our approach to maximum-entropy expectation-maximization (MEEM) in all of these applications. Computer simulation experiments are used to demonstrate the performance of our algorithm in comparison to existing methods.

关键词： expectation-maximization maximum entropy density estimation image segmentation image reconstruction signal reconstruction sensor network cauchy-schwartz inequality

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Highly automated image recomposition: "The picture you wish you had taken"

Highly automated image recomposition: "The picture you wish ...

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Conference on visual communications and image processing 2007

作者： Luo, Jiebo Lei, Phoury Eastman Kodak Co 1999 Lake Ave Rochester NY 14650 USA

ISBN: (纸本)9780819466211

Have you ever lamented, "I wish I had taken a different picture of that 'Kodak Moment' when everyone was smiling and no one blinked"? With image recomposition, we strive to deliver the "one-click fix" experience to customers so they can easily create the perfect pictures that they never actually took. To accomplish this, a graphic user interface was created that integrates existing and new algorithms, including face detection, facial feature location, face recognition, expression recognition, face appearance and pose matching, and seamless blending. Advanced modes include face relighting. This system is capable of performing image recomposition from a. mixture of videos and still photos, with ease of use and a high degree of automation.

关键词： image recomposition face detection face recognition image blending

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