H. Benoit-Cattin, A. C. Planat, Pascal Joachimsmann, A. Baskurt, P. Clarysse, I. Magnin
{"title":"On the coding of active quadtree mesh","authors":"H. Benoit-Cattin, A. C. Planat, Pascal Joachimsmann, A. Baskurt, P. Clarysse, I. Magnin","doi":"10.1109/ICIP.1998.723700","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723700","url":null,"abstract":"We consider the coding of a quadrangular mesh structure generated by a multiresolution deformable quadtree algorithm. Such a structure has been found efficient for region based video coding, but few works deal with the coding of the mesh structure. We propose to use the rules of the mesh generation to significantly reduce the number of bits required for the coding of the nodes position defining the mesh structure. This reduction induces an improvement of either the image quality or either the global bit rate.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Error robust video coding based on H.263","authors":"F. Spaan, R. Lagendijk, J. Biemond","doi":"10.1109/ICIP.1998.999035","DOIUrl":"https://doi.org/10.1109/ICIP.1998.999035","url":null,"abstract":"In wireless communication transmission errors will occur, and if compressed digital video is used, the compression algorithm has to be error robust. This paper discusses a new technique for error robust video coding based on H.263. It consists of two parts. Firstly, the reference frame, with respect to which the differential frames are coded, is not the previous frame, but a frame composed of a set of N previous reconstructed frames at the decoder. This will smooth the error and as a result the visual quality improves substantially. Secondly, at the decoder an algorithm is implemented for the detection of errors in the frame to be displayed. The positions of the corrupted macro blocks that are detected are signaled to the encoder. When the encoder receives this information, it forces intra coding of the macro blocks at these positions in some future frame, depending on the delay. This is not the same as re-transmission, since only the coding mode (intra) of some future macro block at a certain spatial position is requested. Experiments show significant improvement in error robustness and resulting quality while maintaining the same bit rate. At a bit error rate (BER) of 10/sup -4/ an improvement of 13.8 dB (PSNR) was obtained and maintained during the whole test sequence.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"445 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125768343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensitivity of model-based coded video to packet losses","authors":"J. Woods, S. Ramanan, D. Pearson","doi":"10.1109/ICIP.1998.723581","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723581","url":null,"abstract":"Previous model-based video coding studies have focused on the modelling techniques themselves and have not considered the transportation of an implementable coder over lossy networks. In this article a hybrid switched 3D model-based/H.261 video coder designed for one-to-many distance learning applications over the Internet multicast backbone (MBONE) is employed to study the susceptibility to data loss of model based packet video. Data is considered as; texture, motion and shape, with further sub-division to periodic and aperiodic types. The absence of the various data streams in isolation is investigated to reveal the types of degradation possible and then statistical loss is applied to all streams simultaneously to observe the combined effects using a simple loss model. The ability of the various streams to recover from these errors is investigated and an order of priority for the data types is then identified.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124781731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A video coder using 3-D model based background for video surveillance applications","authors":"Isabel Martins, L. Côrte-Real","doi":"10.1109/ICIP.1998.723705","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723705","url":null,"abstract":"We present a model based video coder for remote video surveillance applications at very low bit rates. Unlike the known model based video codecs, we use the model based approach for background modeling and not for \"head-and-shoulders\" modeling. Since in video surveillance the remote site that is being monitored is usually a previously known physically closed space, we build a 3-D model of the site and use it to synthesize the background of the scene for each of the video cameras used. The codec has two layers, one layer for the background using a 3-D model and a second layer for the part of the scene not represented by the background. The second layer may use conventional hybrid DPCM-DCT coding schemes, like H.263, or object-based coding techniques, like those used in MPEG-4 video VM. The proposed codec can be a good framework for a multiview codec.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wavelet based nonlinear image enhancement for Gaussian and uniform noise","authors":"Wenzhe Li, Ji-Nan Lin, R. Unbehauen","doi":"10.1109/ICIP.1998.723562","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723562","url":null,"abstract":"We consider image enhancement by using a wavelet based nonlinear filtering scheme. It is well-known that the wavelet transform decomposes an image into a finite number of resolution scales that is very suitable for image analysis and image compression. Such a resolution decomposition is also useful for noisy image enhancement, in view of that the visible noise can be suitably separated in the low-frequency (LF) component and the high-frequency (HF) components of a wavelet transform. While the wavelet transform is used for the decomposition and reconstruction of images, we apply nonlinear piecewise-quadratic (PWQ) filters for the processing of the decomposed progressive wavelet HF components before reconstruction. We show by simulations that such a filtering scheme can achieve a considerable improvement in noise smoothing, details-preserving and the visual quality of images.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128712282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Invariant object recognition by shape space analysis","authors":"Jun Zhang, X. Zhang, H. Krim","doi":"10.1109/ICIP.1998.999044","DOIUrl":"https://doi.org/10.1109/ICIP.1998.999044","url":null,"abstract":"This paper describes a new approach to invariant object recognition. In this approach, an object is represented by a set of key points called landmarks. All possible translation, scaling, and rotation of the object are placed into an equivalent class and associated to a single point in a complex projective space called the shape space. Object recognition is then achieved by distance calculations in this shape space. This approach is invariant to object translation, scaling, and rotation, and is computationally simple. Our experimental results also indicate that it is insensitive to noise and moderate occlusions.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"24 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Joint spatiotemporal statistical analysis of functional MRI data","authors":"Z. Fu, Y. Hui, Zhi-Pei Liang","doi":"10.1109/ICIP.1998.723595","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723595","url":null,"abstract":"This paper presents a novel method for the detection of neuronal activity-dependent signal changes in functional magnetic resonance imaging (fMRI) image sequences. In this method, wavelet analysis and statistical testing are applied jointly, enabling fMRI image sequences to be effectively analyzed in a unique spatio temporal framework. Experimental results show that this method performs significantly better than several existing methods for fMRI data with low SNR.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127192897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tracking of generic objects for video object generation","authors":"F. Marqués, J. Llach","doi":"10.1109/ICIP.1998.999047","DOIUrl":"https://doi.org/10.1109/ICIP.1998.999047","url":null,"abstract":"A tracking technique for creating generic video objects is presented. It assumes that the object in the initial image has been previously defined by an object partition. The object tracking relies on the concept of partition projection. The projection of a partition accommodates the previous partition information into the current image. The object partition is re-segmented so a texture partition is created. The texture partition guarantees the spatial homogeneity of each region and it is projected on the following image using motion information. Projected regions are used as markers and, to validate the position of the markers, they are fit into an intra fine partition of the current image. The texture partition of the current image is obtained by a modified watershed algorithm based on the fit markers. Finally, the current object partition is obtained by a labeling process.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127251696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing the computational complexity of a MAP post-processing algorithm for video sequences","authors":"M. Robertson, R. Stevenson","doi":"10.1109/ICIP.1998.723503","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723503","url":null,"abstract":"Maximum a posteriori (MAP) filtering using the Huber-Markov (1981) random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts in images. Unfortunately, this MAP formulation requires iterative techniques for the solution of a constrained optimization problem. In the past, these iterative techniques have been computationally intensive, making the filter infeasible in situations where it is desired to filter images (or video frames) quickly. This paper introduces two methods for reducing the computational requirements of the constrained optimization, as well as theoretical and experimental justifications for using them.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127313945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal JPEG decoding","authors":"Joël Jung, M. Antonini, M. Barlaud","doi":"10.1109/ICIP.1998.723513","DOIUrl":"https://doi.org/10.1109/ICIP.1998.723513","url":null,"abstract":"This paper introduces an optimal decoding scheme for the baseline Joint Photographers Expert Group (JPEG) standard. In particular, it deals with the minimization of a half-quadratic criterion which takes into account observed data, a priori knowledge of the solution, and precise spatial location of blocking artifacts. The method considers, at the same time, information in the original spatial domain, in the DCT domain, and in the spatio-frequency (DWT) domain. A model of the quantizer is also included. The method reduces blocking and ringing artifacts, resulting in improved peak signal-to-noise ratio performance as well as greater visual quality.","PeriodicalId":220168,"journal":{"name":"Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}