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Multimedia Signal Processing and Communications, 48th International Symposium ELMAR-2006 focused on

Date 7-10 June 2006

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  • [Front cover]

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  • 48th International Symposium ELMAR-2006 focused on Multimedia Signal Processing and Communications

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  • Copyright page

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  • Sponsors

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  • [Advertisement]

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  • ELMAR-2006 Symposium Committees

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  • ELMAR-2006 Symposium International Review Committee

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  • Croatian Society Electronics in Marine - ELMAR

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  • Welcome speech of the President of Croatian Society Electronics in Marine - ELMAR, Zadar

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  • Contents

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  • Tesla's Inventions in the Field of Radiocommunications

    Page(s): 1 - 4
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4074 KB) |  | HTML iconHTML  

    In the early days of Tesla's research he explained the process of electromagnetic waves propagation. His experimentations with high frequencies, wireless communication systems, and high frequency oscillator are the base of transmission technology today. In this paper the influence of Tesla's inventions and results in the field of radiocommunications are described View full abstract»

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  • Input-Agnostic vs. Input-Specific Image Secret Sharing

    Page(s): 5 - 8
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (5097 KB) |  | HTML iconHTML  

    In this paper, we focus on the bit-level processing based image secret sharing framework which consists of the so-called input-agnostic and input-specific solutions. It will be demonstrated that both these subclasses satisfy the essential perfect reconstruction property while making fundamental differences in processing the secret image and protecting the visual data View full abstract»

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  • Camera Image Watermark Transfer by Demosaicking

    Page(s): 9 - 12
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4468 KB) |  | HTML iconHTML  

    This paper introduces a new watermarking solution for single-sensor digital cameras. The proposed method embeds visible watermarks in the color filter array (CFA) domain of captured images and uses the demosaicking process to transfer the watermark from the gray-scale CFA image to the restored, demosaicked, color image. Thus, the approach allows for cost-effective image protection and the enforcement of digital rights and intellectual property rights in single-sensor images View full abstract»

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  • A Heuristic Bitrate Control for Non-embedded Wavelet Image Encoders

    Page(s): 13 - 16
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4812 KB) |  | HTML iconHTML  

    Most recently developed wavelet image emcoders support as native feature an embedded bitrate control that could be useful for applications where obtaining an accurate bitrate is critical. Well-known encoders like JPEG2000 and SPIHT employ embedded coding. However, this feature makes them highly complex, being a serious restriction for certain applications and devices (such as mobile multimedia communications involving PDAs, mobile phones, etc.). As a consequence, in the last years, authors proposed non-embedded encoders with vetyfast and low-memory-demanding encoding/decoding processes. In this paper, we propose rate control tools that are able to supply the required rate control accuracy with as low as possible complexity increase. Experimental tests show that good results are obtained by employing trivial models of the encoder engine, being able to modulate the accuracy degree with lightweight iterative versions View full abstract»

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  • PDF Model of Multimedia and Scientific Images in the Wavelet Domain

    Page(s): 17 - 20
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (3980 KB) |  | HTML iconHTML  

    This work deals with a statistical model of the marginal probability density function (PDF) of digital images in the wavelet domain. Estimation of parameters of the model using least square method is also included. A dyadic decomposition as a special form of the discrete wavelet transform is used in this paper. There is described the statistical model of wavelet coefficients based on the generalized Laplacian. The modeling of PDF in the wavelet domain is well blown procedure, which is used for reconstruction of multimedia data. The multimedia data are characterized by their image content. The robotic astronomical systems, i.e. BOOTES (burst observer optical transient exploring system) provide a huge amount of a data with specific properties (i.e. bit depth, noise, objects). These data are very specific and it is necessary to analyze their PDF in the wavelet domain for their other processing. The parameters of the statistical model of scientific and multimedia data have been estimated and compared. It is very significant for proper setup of the reconstruction algorithms View full abstract»

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  • Picture Format Conversion for TV Projection

    Page(s): 21 - 26
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4937 KB) |  | HTML iconHTML  

    For TV projection of film material it is necessary to correct picture for format differences. TV projection needs to achieve closest possible artistic atmosphere of original film image. Different balance of picture elements, because of the format correction process, results with different artistic atmosphere of the projected picture. There are different approaches to correction process which depend on film frame format and for best results need to be planed during the film making. Cinema projection does not affect balance of the picture elements and projected picture quality depends on film formats, which are compared in this paper View full abstract»

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  • Assessment of Region-Based Moment Invariants for Object Recognition

    Page(s): 27 - 32
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (6078 KB) |  | HTML iconHTML  

    Geometric region-based moments as features for invariant object recognition are studied. Theoretically rotation, translation, and scale invariant Hu, Zernike, and Krawtchouk moments are used as features for region description. Accuracy of such description and efficiency is tested by recognition of letters and digits from extended Slovenian alphabet. Ten testing samples in six different image resolutions are constructed for each character from learning set. Testing set consists of 390 samples per resolution (altogether 2340 samples). Recognition accuracy obtained by using Hu moments is 95.6%, 87.4% with Zernike moments, and with Krawtchouk moments 64.1%. Object recognition by using Krawtchouk moments is the most sensitive to object rotation and scaling, which is confirmed with the description error of 9.28%. All moment invariants can be reliable used for object recognition in images with up to four times lower resolution as in original image View full abstract»

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  • A Spatial Filter for Dark Regions Detection

    Page(s): 33 - 36
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4158 KB) |  | HTML iconHTML  

    This paper presents a new spatial filter for detection of dark objects in images with uneven illumination or where object grey-levels vary with respect to local surroundings. Theoretical filter foundations, properties and guidelines for its application are described in detail. This parametric, symmetric, and rotation invariant filter adapts by varying its radius, and, consequently, enables scale-space image analyzing. Filter executes very fast also by big radii, because majority of filter mask elements are zero. Preliminary results are very promising. Proposed filter outperforms related methods like thresholding and local standard deviation in specific images, and, therefore, it is efficient supplement for these methods. With two integrated post-processing methods, this filter successfully deals also with image noise. Consequently, introduced filter can be legitimate reckoned among basic low-level digital image processing tools View full abstract»

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  • Multiscale Edge Detector

    Page(s): 37 - 40
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4205 KB) |  | HTML iconHTML  

    The purpose of this paper is to introduce an novel edge detector using directional wavelet transform and signal registration. Directional wavelet transform decomposes an image into four-dimensional space which augments the image by the scale and directional information. We show the directional information significantly improves edge detection in noisy images in comparison with the classical multiscale edge detector, and enables more reliable edge tracing along an object boundary. Edge detection is based on the modulus maximum principle with an adaptive threshold whose value is calculated via maximum entropy measure. Edge tracing is done with signal alignment between neighbour edges View full abstract»

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  • A New Method for Contour Extraction and Image Compression in Spectral Domain

    Page(s): 41 - 44
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (3073 KB) |  | HTML iconHTML  

    Three different algorithms of contour extraction and image compression using low-pass filter (LPF) and high-pass filter (HPF) are presented and compared with Sobel and Canny edge detectors in this paper. The proposed algorithms used periodic Haar piecewise-linear (PHL) transform, discrete cosine transform (DCT) and Haar transform (HT). Effectiveness of the contour extraction for different classes of images is evaluated. In the paper the main idea of the proposed procedure for both contour extraction and image compression are performed. To compare the results, the mean square error and signal-to-noise ratio criterions were used. Number of operations that is necessary to perform contour extraction and image compression procedures is also presented. The simplicity and the small number of operations are the main advantages of the proposed algorithms View full abstract»

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  • Multicamera Systems in the Moving Body Recognition

    Page(s): 45 - 48
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (3997 KB) |  | HTML iconHTML  

    The contribution presents the process of the space localization of the moving object using a multicamera system, possible remote data transmission through communication links and image acquisition problems. The moving body recognition and its mathematical modelling including spline interpolation, of its trajectory in the three-dimensional space form the main part of the paper. Final results are presented in the computer environment of virtual reality allowing the detail study of the whole system that can represent an engineering or a biomedical process View full abstract»

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  • Motion Detection Based Multimedia Supported Intelligent Video Surveillance System

    Page(s): 49 - 52
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4270 KB) |  | HTML iconHTML  

    An integrated multimedia supported intelligent video surveillance system is proposed. The system is aimed to alleviate the disadvantages of the existing video-surveillance kits and provides advanced search, notification, visualization and alarming functionality through integration of artificial intelligence, motion detection and tracking technology, multimedia databases and Internet/cell phone connectivity. The effectiveness and feasibility of the proposed concept is proven through experimental results on a real-life video sequence View full abstract»

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  • Reversible watermarking scheme for image authentication in frequency domain

    Page(s): 53 - 56
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4475 KB) |  | HTML iconHTML  

    Currently any digital media can be easily modified. As a measure to ensure authenticity of the media in question, watermarks may be used. However, for a specific media (military or medical imagery) modifications introduced by watermarking process are not acceptable. Reversible watermarking, that allows to restore exact original image, is designed for this usage. In this paper semi-blind reversible pixel-wise image authentication framework is proposed. The scheme allows us to authenticate and locate tampered pixels. Also exact recovery of the original image is possible View full abstract»

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  • Mosaic Based Compression of Panoramic Image Sequence

    Page(s): 57 - 60
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4519 KB) |  | HTML iconHTML  

    An approach to compression of panoramic images is presented. Individual panoramic images can be efficiently compressed with application of decorrelating transforms, such as block based DCT, or wavelet transform, then coefficients quantization, and VL coding, as in JPEG 2000 standard. Further compression of the sequence of images is possible, if there is a significant correlation between images due to the existence of overlapping areas. Mosaic-based panoramic image sequence codec is proposed for archiving or transmission purposes View full abstract»

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  • Optical Character Recognition of Low Resolution Text Sequences From Hand-Held Device Supported by Super-Resolution

    Page(s): 61 - 64
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (4479 KB) |  | HTML iconHTML  

    In this paper a super-resolution technique especially optimized for enhancing low-resolution text images from handheld devices is presented. Considered here, the most naturally, projective motion model has eliminated some drawbacks of previously presented SR schemes. Modification of initial guess estimation idea has resulted in accuracy improvement and convergence speed up. We also applied a quadratic unsharp masking filter which allowed for highlight high frequencies which are then combined with the warped and interpolated image sequence following projective motion estimation using "projective fit" and "projective flow" techniques. Finally, comparison of outputs in the form of OCR results is shown View full abstract»

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