Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

10-13 Sept. 2000

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  • Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

    Publication Year: 2000
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    Freely Available from IEEE
  • Informed embedding: exploiting image and detector information during watermark insertion

    Publication Year: 2000, Page(s):1 - 4 vol.3
    Cited by:  Papers (39)  |  Patents (11)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (465 KB)

    Usually watermark embedding simply adds a globally or locally attenuated watermark pattern to the cover data (photograph, music, movie). The attenuation is required to maintain fidelity of the cover data to an observer while the watermark detector considers the cover data to be "noise". We refer to this as blind embedding. Cox, Miller and McKellips (see Proceedings of the IEEE, vol.87, no.7, p.112... View full abstract»

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  • A DWT-based object watermarking system for MPEG-4 video streams

    Publication Year: 2000, Page(s):5 - 8 vol.3
    Cited by:  Papers (23)  |  Patents (6)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    The MPEG-4 standard is revealing very attractive for a large set of applications. In some of them a copy protection system allowing to control the distribution of multimedia data is required. A new technology useful for copyright protection is watermarking: a digital code (watermark), indicating the copyright owner, is directly embedded into the video signal. The possibility of the MPEG-4 standard... View full abstract»

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  • Fourier descriptors watermarking of vector graphics images

    Publication Year: 2000, Page(s):9 - 12 vol.3
    Cited by:  Papers (17)  |  Patents (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (339 KB)

    A blind method for watermarking of vector graphics images through polygonal line modification is proposed. The watermark is embedded in the Fourier descriptors of the polygonal lines, causing invisible distortions to the vertices coordinates. The properties of the Fourier descriptors ensure that watermarks generated by this technique withstand rotation, translation, scaling, reflection, change of ... View full abstract»

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  • Oblivious cocktail watermarking by sparse code shrinkage: a regional- and global-based scheme

    Publication Year: 2000, Page(s):13 - 16 vol.3
    Cited by:  Papers (1)  |  Patents (17)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (479 KB)

    Watermarking with oblivious detection and high robustness capabilities together is still a challenging problem up to now. The existing methods are either robust or oblivious but it is difficult to achieve both goals simultaneously. In this paper, oblivious detection is formulated as a blind source separation problem by regarding the hidden watermarks as noise. To keep high robustness, our non-obli... View full abstract»

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  • Robustness of a blind image watermarking scheme

    Publication Year: 2000, Page(s):17 - 20 vol.3
    Cited by:  Papers (20)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (423 KB)

    It was shown previously that, in some situations, blind watermarking can perform as well as watermarking schemes with the host signal available to the decoder. In this paper, blind watermarking of colored Gaussian host signals in the presence of filtering and additive Gaussian noise attacks is discussed. Three suboptimal but practical schemes are compared with a scheme where the host signal is ava... View full abstract»

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  • Robustness of asymmetric watermarking technique

    Publication Year: 2000, Page(s):21 - 24 vol.3
    Cited by:  Papers (16)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    Asymmetric schemes belong to second generation of watermarking. Whereas their need and advantage are well understood, many doubts have been raised about their robustness. According to a method presented by Furon and Duhamel (see Proc. of the 3rd Int. Work. on Information Hiding, Dresden, 1999), a very robust symmetric technique is derived into an asymmetric scheme. Tests show that it is as robust ... View full abstract»

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  • Channel coding in video watermarking: use of soft decoding to improve the watermark retrieval

    Publication Year: 2000, Page(s):25 - 28 vol.3
    Cited by:  Papers (3)  |  Patents (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    Watermarking is often modeled as the transmission of a message over a very noisy channel. Indeed, the watermark power must be very low to ensure invisibility, and the modifications suffered by an image can be rather strong (JPEG or MPEG compression for instance), leading to a high noise level. To ensure a reliable transmission on a channel with such a low SNR, channel coding is thus mandatory. How... View full abstract»

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  • Digital watermarking using complex wavelets

    Publication Year: 2000, Page(s):29 - 32 vol.3
    Cited by:  Papers (23)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (423 KB)

    We propose a blind watermarking algorithm in the complex wavelet domain. We discuss why complex wavelets are preferable to real ones in terms of image adaptability and comment on the precautions required in embedding watermarks in an oversampled domain like the complex wavelet transform. A simple but effective human visual model in the complex wavelet domain is described. By modelling watermarking... View full abstract»

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  • Multimedia understanding: challenges in the new millennium

    Publication Year: 2000, Page(s):33 - 37 vol.3
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (504 KB)

    Multimedia understanding is a fast emerging interdisciplinary research area with tremendous potential to increase the effective use of multimedia content. Diverse application areas are increasingly relying on multimedia understanding systems. Advances in multimedia understanding are related directly to advances in various disciplines including signal processing, computer vision, pattern recognitio... View full abstract»

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  • Framing through peripheral perception

    Publication Year: 2000, Page(s):38 - 41 vol.3
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (419 KB)

    Context is an essential line of information for systems that rely on real world inputs. However, it is frequently ignored because modeling context by definition requires modeling features outside of the chosen domain. We model context by using peripheral perception, which basically means non-attentional features. This naturally and intuitively defines what it means to model context. We give the re... View full abstract»

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  • A hierarchical characterization scheme for image retrieval

    Publication Year: 2000, Page(s):42 - 45 vol.3
    Cited by:  Papers (6)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    In this paper, we present a study of hierarchically characterizing image content from coarse level to fine level conducted using a series of shape features as a case in point. In this work, we have empirically proved that this hierarchical characterization is effective and necessary. We have used this hierarchical multimedia content characterization scheme in our shape retrieval experiments and se... View full abstract»

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  • Experiments in constructing belief networks for image classification systems

    Publication Year: 2000, Page(s):46 - 49 vol.3
    Cited by:  Patents (8)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (413 KB)

    We present procedures and experimental results in constructing belief networks for image classification systems based on probabilistic reasoning. In particular, we compare the performance of systems based on manually constructed and automatically constructed belief networks. The systems exploit existing image descriptions and also exploit interactions between multiple classifiers to improve classi... View full abstract»

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  • 3D model enhanced face recognition

    Publication Year: 2000, Page(s):50 - 53 vol.3
    Cited by:  Papers (3)  |  Patents (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (467 KB)

    A personal identification system based on the analysis of frontal or profile images of the face has applications in human-computer interfaces, access control, surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 2D images/patterns of 3D face objects can change dramatically due to lighting and viewing variations. ... View full abstract»

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  • Characterization of perceptual importance for object-based image segmentation

    Publication Year: 2000, Page(s):54 - 57 vol.3
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (551 KB)

    We propose a machine learning approach for characterizing the perceptual importance of particular regions in an image. A modular neural network architecture is adopted for encoding our usual notion of a perceptually important region in such a way that generalization of this knowledge to previously unseen images is possible. Specifically, users are allowed to specify examples of perceptually signif... View full abstract»

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  • Dynamic resource allocation via video content and short-term traffic statistics

    Publication Year: 2000, Page(s):58 - 61 vol.3
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (425 KB)

    Dynamic resource allocation is critical in the transmission of VBR video. Our study shows that content is one of the major factors that controls the bandwidth of the video bit-stream, yet content alone may not be sufficient in predicting future traffic and in determining how much resource to request. A new framework of traffic prediction is proposed, taking into account both content features and a... View full abstract»

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  • Source models for content-based video coding

    Publication Year: 2000, Page(s):62 - 65 vol.3
    Cited by:  Papers (3)  |  Patents (10)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (407 KB)

    Different source models for content-based video coding are presented. An object-based analysis-synthesis coder describes video objects by means of motion, shape and texture parameters. In contrast to block-based coding, the representation of arbitrarily shaped objects in a real scene is possible. Using knowledge about the scene content and about the object's behavior, object-based coding is extend... View full abstract»

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  • Topology-independent region tracking with level sets

    Publication Year: 2000, Page(s):66 - 69 vol.3
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (533 KB)

    This paper presents a new approach to the tracking of regions in an image sequence. Unlike most other methods, the proposed approach can handle topology changes, i.e., regions may split or merge. This flexibility is naturally embedded into a partial differential equation that solves a minimum description length (MDL) estimation problem. The basic estimation criterion consists of only two terms: th... View full abstract»

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  • Mean shift and optimal prediction for efficient object tracking

    Publication Year: 2000, Page(s):70 - 73 vol.3
    Cited by:  Papers (103)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (571 KB)

    A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the target candidate that is the most similar to a given target model, while the prediction of the next target location is computed with a Kalman filter. The dissimilarity between the target model and the target candidates is expr... View full abstract»

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  • Object tracking by adaptive modeling

    Publication Year: 2000, Page(s):74 - 77 vol.3
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (441 KB)

    This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the expectation-maximization algorithm. The proposed object desc... View full abstract»

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  • A multi-fractal formalism for stabilization, object detection and tracking in FLIR sequences

    Publication Year: 2000, Page(s):78 - 81 vol.3
    Cited by:  Papers (10)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (330 KB)

    In this paper, we investigate the problem of stabilization, detection and tracking of moving or stationary objects in a forward-looking infrared (FLIR) sequence. A multi-fractal formalism is proposed for stabilization and activity detection and the method is compared to three other classical techniques in image processing. View full abstract»

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  • Robust shape tracking in the presence of cluttered background

    Publication Year: 2000, Page(s):82 - 85 vol.3
    Cited by:  Papers (7)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (401 KB)

    Kalman filtering has been extensively used in object tracking. However, the tracker performance is severely affected in the presence of multiple objects and cluttered background. The reason is simple. Feature detection produces many outliers and the Kalman filter is not able to discriminate valid data from the clutter. This paper overcome this difficulty and describes a robust algorithm for object... View full abstract»

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  • Hierarchical model based human motion tracking

    Publication Year: 2000, Page(s):86 - 89 vol.3
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (457 KB)

    Image sequence based tracking is the pivotal technique of human motion. In the paper, we first propose an appropriate human model and color model. Second, two approaches are proposed aiming at two different levels of color-block information including the boundary and the inner-area: the extraction of the boundary algorithm is based on the Robert operator and the clustering algorithm is based on se... View full abstract»

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  • Multiframe Bayesian tracking of cluttered targets with random motion

    Publication Year: 2000, Page(s):90 - 93 vol.3
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (411 KB)

    We present in this paper a multiframe Bayesian algorithm for the detection and tracking of heavily cluttered rigid bodies with random translational and rotational motion. Monte Carlo simulations with synthetic targets and clutter show that the proposed algorithm achieves substantial performance gains over the common association of a maximum likelihood position estimator and a linearized Kalman-Buc... View full abstract»

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  • Object tracking with shape representation network using color information

    Publication Year: 2000, Page(s):94 - 97 vol.3
    Cited by:  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (423 KB)

    In this article, we propose an object tracking method using a neural network which represents the shape of an object based on the object's color information. We previously proposed a specific form of multiple-layered neural network which has a suitable structure to represent an object's shape. This network (shape representation network, SRN) originally was developed to deal with black and white im... View full abstract»

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