ICASSP99 Video Compression and Processing

Video Compression and Processing
Home Full List of Titles 1: Speech Processing CELP Coding Large Vocabulary Recognition Speech Analysis and Enhancement Acoustic Modeling I ASR Systems and Applications Topics in Speech Coding Speech Analysis Low Bit Rate Speech Coding I Robust Speech Recognition in Noisy Environments Speaker Recognition Acoustic Modeling II Speech Production and Synthesis Feature Extraction Robust Speech Recognition and Adaptation Low Bit Rate Speech Coding II Speech Understanding Language Modeling I 2: Speech Processing, Audio and Electroacoustics, and Neural Networks Acoustic Modeling III Lexical Issues/Search Speech Understanding and Systems Speech Analysis and Quantization Utterance Verification/Acoustic Modeling Language Modeling II Adaptation /Normalization Speech Enhancement Topics in Speaker and Language Recognition Echo Cancellation and Noise Control Coding Auditory Modeling, Hearing Aids and Applications of Signal Processing to Audio and Acoustics Spatial Audio Music Applications Application - Pattern Recognition & Speech Processing Theory & Neural Architecture Signal Separation Application - Image & Nonlinear Signal Processing 3: Signal Processing Theory & Methods I Filter Design and Structures Detection Wavelets Adaptive Filtering: Applications and Implementation Nonlinear Signals and Systems Time/Frequency and Time/Scale Analysis Signal Modeling and Representation Filterbank and Wavelet Applications Source and Signal Separation Filterbanks Emerging Applications and Fast Algorithms Frequency and Phase Estimation Spectral Analysis and Higher Order Statistics Signal Reconstruction Adaptive Filter Analysis Transforms and Statistical Estimation Markov and Bayesian Estimation and Classification 4: Signal Processing Theory & Methods II, Design and Implementation of Signal Processing Systems, Special Sessions, and Industry Technology Tracks System Identification, Equalization, and Noise Suppression Parameter Estimation Adaptive Filters: Algorithms and Performance DSP Development Tools VLSI Building Blocks DSP Architectures DSP System Design Education Recent Advances in Sampling Theory and Applications Steganography: Information Embedding, Digital Watermarking, and Data Hiding Speech Under Stress Physics-Based Signal Processing DSP Chips, Architectures and Implementations DSP Tools and Rapid Prototyping Communication Technologies Image and Video Technologies Automotive Applications / Industrial Signal Processing Speech and Audio Technologies Defense and Security Applications Biomedical Applications Voice and Media Processing Adaptive Interference Cancellation 5: Communications, Sensor Array and Multichannel Source Coding and Compression Compression and Modulation Channel Estimation and Equalization Blind Multiuser Communications Signal Processing for Communications I CDMA and Space-Time Processing Time-Varying Channels and Self-Recovering Receivers Signal Processing for Communications II Blind CDMA and Multi-Channel Equalization Multicarrier Communications Detection, Classification, Localization, and Tracking Radar and Sonar Signal Processing Array Processing: Direction Finding Array Processing Applications I Blind Identification, Separation, and Equalization Antenna Arrays for Communications Array Processing Applications II 6: Multimedia Signal Processing, Image and Multidimensional Signal Processing, Digital Signal Processing Education Multimedia Analysis and Retrieval Audio and Video Processing for Multimedia Applications Advanced Techniques in Multimedia Video Compression and Processing Image Coding Transform Techniques Restoration and Estimation Image Analysis Object Identification and Tracking Motion Estimation Medical Imaging Image and Multidimensional Signal Processing Applications I Segmentation Image and Multidimensional Signal Processing Applications II Facial Recognition and Analysis Digital Signal Processing Education Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Improved Blotch Detection by Postprocessing Authors: Jan Biemond, Peter M.B. van Roosmalen, Reginald L. Lagendijk, Page (NA) Paper number 1059 Abstract: Blotches are common artifacts in old film sequences that manifest themselves as disturbing bright or dark spots. Existing methods for detecting blotches can achieve high detection rates. High detection rates are only useful if the corresponding number of false alarms is not too high, visible artifacts in the corrected sequence result otherwise. We show that the performance of blotch detectors can be improved significantly by taking statistical influence of noise on the detection mechanism into account. Further improvements are achieved first by using a double-stage detection strategy and second by a constrained dilation technique. IC991059.PDF (From Author) IC991059.PDF (Rasterized) TOP Fast High Quality Interpolation of Missing Data in Image Sequences using a Controlled Pasting Scheme Authors: Peter M.B. van Roosmalen, Delft University of Technology, The Netherlands (The Netherlands) Anil C. Kokaram, Trinity College, Dublin, Ireland (Ireland) Jan Biemond, Delft University of Technology, The Netherlands (The Netherlands) Page (NA) Paper number 1063 Abstract: An important topic in image restoration is interpolation of missing data in image sequences. Missing data is a result of dirt on film and of ageing processes where the film contents is replaced by data that bears little relationship with the original scene. We present a method for interpolating missing data with the aim of achieving higher fidelity and more consistency in the interpolated results than can be achieved by existing methods. This by combining autoregressive models and markov-random field techniques. Experimental results confirm the superior performance of the proposed method over existing methods. IC991063.PDF (From Author) IC991063.PDF (Rasterized) TOP A New Approach to the Temporal Evolution of a Family of Curves Authors: Vicenz Parisi Baradad, Dept. Enginyeria Electronica, EUETIT, C./ Colom, 1,08222 Terrassa, Spain (Spain) Hussein M Yahia, INRIA, BP 105, 78153 Le Chesnay Cedex, France (France) Isabelle L Herlin, INRIA, BP 105, 78153 Le Chesnay Cedex, France (France) Page (NA) Paper number 1557 Abstract: In this study the problem of modeling a family of curves is addressed. The need of such modeling appears frequently in many aspects of image processing where many linear structures keep spatial relationships during their evolution. We come up with a modeling tool well suited to the spatial modeling of a family of curves, and which can be very useful for motion tracking and curve evolution as well. The family of curves is represented as the line paths (orbits) of a `` spline vector field '', i.e. a vector field interpolating data using a framework similar to the theory of spline curves. The model is exemplified with oceanic satellite data. Its usefullness for curve evolution modeling is also presented. IC991557.PDF (From Author) IC991557.PDF (Rasterized) TOP Very Low Bit Rate Foveated Video Coding For H.263 Authors: Sanghoon Lee, Alan C. Bovik, Page (NA) Paper number 1586 Abstract: Recently, foveated video has been introduced as an important emerging method for very low bit rate multimedia applications [1][2]. In this paper, we develop several rate control algorithms, and measure the performance of foveated video. We utilize H.263 video, and compare the performance with regular video based on the SNRC (signal-to-noise ratio in curvilinear coordinates). In order to maximize compression, we use a maximum quantization parameter (QP = 31) for the regular video, and code a foveated video sequence at the equivalent bit rate. In simulation, we improve the PSNRC to 3.64 (1.62)dB under 30 (14) Kbits/sec for P pictures in CIF "News" ("Akiyo") standard video sequence. IC991586.PDF (From Author) IC991586.PDF (Rasterized) TOP An Adaptive Markov Random Field Based Error Concealment Method for Video Communication in An Error Prone Environment Authors: Shahram Shirani, Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada (Canada) Faouzi Kossentini, Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada (Canada) Rabab K Ward, Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada (Canada) Page (NA) Paper number 2013 Abstract: Loss of coded data during its transmission can affect a decoded video sequence to a large extent, making concealment of errors caused by data loss a serious issue. Previous work in spatial error concealment exploiting MRF models used a single pixel wide region around the erroneous area to achieve a reconstruction based on an optimality measure. This practically restricts the amount of available information that is used in a concealment procedure to a small region around the missing area. Incorporating more pixels usually means a higher order model and this is expensive as the complexity grows exponentially with the order of the MRF model. Using previously proposed approaches, the damaged area is reconstructed fairly well in very low frequency portions of the image. However, the reconstruction process yields blurry results with a significant loss of details in high frequency, or edge portions of the image. In our proposed approach, a MRF is used as the image a priori model. More available information is incorporated in the reconstruction procedure not by increasing the order of the model but instead by adaptively adjusting the model parameters. Adaptation is done based on the image characteristics determined in a large region around the damaged area. Thus, the reconstruction procedure can make use of information embedded in not only immediate neighborhood pixels but also in a wider neighborhood without a dramatic increase in computational complexity. The proposed method outperforms the previous methods in the reconstruction of missing edges. IC992013.PDF (From Author) IC992013.PDF (Rasterized) TOP Coding Of An Arbitrarily Shaped Interlaced Video In MPEG-4 Authors: Xuemin Chen, R. Eifrig, A. Luthra, K. Panusopone, Page (NA) Paper number 2109 Abstract: The coding method in MPEG-4 for interlaced-video is introduced in this paper. Such a method is an extension of MPEG-2 interlaced coding tools to allow compression of arbitrarily-shaped interlaced-video. The new texture-and-shape coding tools discussed here for arbitrarily-shaped interlaced-video provide good compression performance. It is demonstrated here that these interlaced tools improve the coding efficiency of MPEG-4 video in both subjective and objective means. IC992109.PDF (Scanned) TOP Inter Mode Vertex-Based Optimal Shape Coding Authors: Gerry Melnikov, Guido M Schuster, Aggelos K Katsaggelos, Page (NA) Paper number 2424 Abstract: This paper investigates the problem of optimal lossy encoding of object contours in the Inter mode. Contours are approximated by connected second-order spline segments, each defined by three consecutive control points. Taking into account correlations in the temporal direction, control points are chosen optimally in the rate-distortion (RD) sense. Applying motion to contours in the reference frame followed by the temporal context extraction, we predict the next control point location, given the previously encoded one. Based on the chosen differential encoding scheme and an additive MPEG4-based distortion metric, the problem is formulated as Lagrangian minimization. We utilize an iterative procedure to jointly find the optimal solution and the associated DPCM parameter probability mass functions. IC992424.PDF (From Author) IC992424.PDF (Rasterized) TOP Manipulating Temporal Dependencies in Compressed Video Data with Applications to Compressed-Domain Processing of MPEG Video Authors: Susie J Wee, Page (NA) Paper number 2486 Abstract: The ability to manipulate the temporal dependencies in coded video data is important for a number of compressed-domain video processing tasks. This paper formulates the general problem and examines it in the context of MPEG. This is used to develop a method for performing frame conversions in MPEG coded video data. These frame conversions are used to develop compressed-domain video processing algorithms for performing temporal mode conversion, frame-by-frame reverse play, and frame-accurate splicing. IC992486.PDF (From Author) IC992486.PDF (Rasterized) TOP