Showing papers in "Journal of Visual Communication and Image Representation in 1998"

TL;DR: An intermediate approach based on a characterization of the symmetry in edge maps is proposed, which shows promising results of matching sketches and grey-scale images against a small database consisting of a variety of fish, planes, tools, etc.,.

TL;DR: This paper develops watermarking methods which successfully resolve the ownership of watermarked MPEG video and/or uncompressed video/image and designs customer rights protocols which give legal customers the ability to create their own evidence and prove their legitimate rights to use the watermarked multimedia data.

TL;DR: A review and analysis of recent developments in postprocessing techniques, including various types of compression artifacts, two types of postprocessing algorithms based on image enhancement and restoration principles and current bottlenecks are addressed.

TL;DR: Visual and quantitative comparisons of the resulting high-resolution video stills computed from two video frames and the corresponding estimated motion fields show that the eight-parameter projective motion model is appropriate for global scene changes, while block matching and Horn?Schunck optical flow estimation each have their own advantages and disadvantages when used to estimate independent object motion.

TL;DR: This paper proposes two different techniques for the real-time labeling of digital video and shows that the label can still be extracted after MPEG re-encoding at a lower bit-rate.

TL;DR: A new technique for streaming real time video on today's Internet, based on dynamic rate shaping and TCP congestion control, which achieves superior video quality while at the same time providing fairness by sharing bandwidth equally with other non-real-time connections.

TL;DR: The use of multiple frame difference features and short-time techniques are presented for efficient detection of cut-type shot boundaries and a clustering-based framework to achieve these tasks automatically and with a minimum of user-defined parameters is proposed.

TL;DR: A data structure is presented that improves region segmentation of 2D images by providing an efficient access to both geometric features and topological features like the frontier of a region, the neighbors of a regions or the set of regions included in one region.

TL;DR: A new recognition algorithm for 2D object contours, based on the decimated wavelet transform, is presented, emphasizing the starting point dependency problem, and requires only less than 25% of the computational load required for the conventional method.

TL;DR: This paper presents a new approach based on the differential framework proposed by Horn and Schunck, to the problem of recursive optical flow estimation from image sequences and shows that gain is achieved from both computational and accuracy points of view.

TL;DR: A new method, called the power differentiation method (PDM), for estimating the fractal dimension of a two-variable signal from its power spectrum density is presented and preliminary results for the classification of ultrasonic liver images, obtained by applying the new method.

TL;DR: A scheme for reducing the required computations in video encoders by skipping some of the discrete cosine transformation (DCT) and quantization calculations by skipping the whole DCT computation is described.

TL;DR: A desktop audio system that incorporates several novel design requirements and integrates vision-based listener-tracking for accurate spatial sound reproduction is presented and a method of pinna classification is presented that allows users to select a set of parameters that closely match their individual listening characteristics.

TL;DR: A constant transform, which closely approximates the input-dependent KLT, has been found, and chromatic edge enhancement in this space does add significantly to the perception of image detail and enhances its chromatic fidelity, as compared with standard edge enhancement of only the luminance channel.

TL;DR: The contributions suggested are the introduction of “correlation terms,” which augment “standard” regularization, and the process of choosingtworegularization hyperparameters, which results in a better correlation between the color bands in the restored image.

TL;DR: This paper provides a survey of tree-based multidimensional indexing techniques for MMDBMSs that maintain image data represented as feature vectors and provides classifications of the trees using several different properties to assist researchers in identifying the strengths and weaknesses of any new indexing technique they develop.

TL;DR: A rate-distortion (R-D) constrained approach for the hierarchical quadtree VBS motion estimation and displaced frame difference (DFD) coding and shows that an overall improvement up to 1.0 dB is obtainable, compared to the fixed block size motion estimation.

TL;DR: An approximated version of a constrained optimization technique is proposed as a restoration process for removing the nonlinear and space-varying degradation operator in compressed images.

TL;DR: A smart search strategy is proposed which is an excellent complement of the adaptive pixel decimation to form a very efficient block motion estimation algorithm that produces smaller motion compensation errors, and has simplified computational complexity.

TL;DR: This paper extends and modifies classified vector quantization (CVQ) to solve the problem of inverse halftoning from error-diffused color images and is the first of its kind to solve this problem.

TL;DR: A two-pass image retrieval system in which retrieval techniques for text and image documents are combined in a novel approach that increases the average precision more significantly than text annotations and is valid at all precision levels and are not sensitive to the image feature acquisition parameters.

TL;DR: An ordered labeled tree, a 2D C-tree, is used to be the spatial representation for images and the tree-matching algorithm for similarity retrieval is proposed and Experimental results for verifying the effectiveness of similarity retrieval by 2 D C-trees matching are presented.

TL;DR: A new methodology in the design of psychovisual quantizers for a given visual subband image coding scheme and the masking effects between subbands is described, finding that the decision thresholds and the reconstruction levels of the quantization follow a linear law regardless of the importance of the contrast.

TL;DR: The novel postprocessing method based on the optimal shift-invariant wavelet packet (SIWP) representation and wavelet shrinkage is proposed to enhance compressed images and is shown to achieve a better trade-off between enhancement performance and decoder complexity than both the orthonormal wavelettransform and the undecimated wavelet transform-based methods.

TL;DR: A design and implementation of a server which integrates continuous-media services with traditional Web services is presented and a simple yet effective fixed-priority scheduler is employed to resolve disk and network contentions.

TL;DR: In this article, a novel triangle-based video coding scheme for very low bit-rate transmission is presented, where regular triangular mesh as used in Brusewitz 6] and Nakaya 7] is replaced by adaptive DT mesh generated by a split-merge approach, and then a new method based on the umbrella matching algorithm (UMA) is developed to refine the coarse motion vectors of DT's vertices derived from a BMA.

TL;DR: A new half-plane-based representation and display method for 2D binary objects that adopts the quadtree block subdivision to divide the object image into hierarchical levels of detail and determines the color of a quadtree node based on the (angle, intercept) representation parameters.

TL;DR: A new frame adaptive VQ technique for image sequence compression (FAVQ) is presented which exploits the inter/intraframe correlations and provides frame adaptability at a reduced complexity.