The proceedings contain 138 papers. The topics discussed include: the enhancement of underexposed images with blurred reflectance;geodesic disparity compensation for inter-view prediction in VR180;two recent advances ...
ISBN:
(纸本)9781728180670
The proceedings contain 138 papers. The topics discussed include: the enhancement of underexposed images with blurred reflectance;geodesic disparity compensation for inter-view prediction in VR180;two recent advances on normalization methods for deep neural network optimization;sparse representation-based intra prediction for lossless/near lossless video coding;recent advances in end-to-end learned image and video compression;FishUI: interactive fisheye distortion visualization;orthogonal features fusion network for anomaly detection;4D-DCT hardware architecture for JPEG Pleno light field coding;and deep blind video quality assessment for user generated videos.
The proceedings contain 134 papers. The topics discussed include: improving person re-identi?cation performance using body mask via cross-learning strategy;privacy-preserving fall detection with deep learning on mmWav...
ISBN:
(纸本)9781728137230
The proceedings contain 134 papers. The topics discussed include: improving person re-identi?cation performance using body mask via cross-learning strategy;privacy-preserving fall detection with deep learning on mmWave radar signal;stereoscopic image quality assessment weighted guidance by disparity map using convolutional neural network;depthwise separable convolutional neural network for image forensics;low resolution recognition of aerial images;fast QTMT partition decision algorithm in VVC intra coding based on variance and gradient;and adaptive CU Split decision with pooling-variable CNN for VVC intra encoding.
The proceedings contain 153 papers. The topics discussed include: towards efficient learned image coding for machines via saliency-driven rate allocation;transformer-based spatial-temporal feature lifting for 3D hand ...
ISBN:
(纸本)9798350359855
The proceedings contain 153 papers. The topics discussed include: towards efficient learned image coding for machines via saliency-driven rate allocation;transformer-based spatial-temporal feature lifting for 3D hand mesh reconstruction;accuracy improvement of depth map estimation from multi-view images using NeRF;learning end-to-end depth maps compression with conditional quality-controllable autoencoder;tangent space sampling of video sequence with locally structured unitary network;efficient lightweight attention based learned image compression;a method for multi-linear TV channels streaming based on non-uniform tiled structure;and subspace learning machine with soft partitioning (SLM/SP): methodology and performance benchmarking.
The proceedings contain 139 papers. The topics discussed include: cross-device image saliency detection: database and comparative analysis;performance evaluation of feature detectors and descriptors with close-range s...
ISBN:
(纸本)9798331529543
The proceedings contain 139 papers. The topics discussed include: cross-device image saliency detection: database and comparative analysis;performance evaluation of feature detectors and descriptors with close-range solar panel images;inter Submesh border information coding with skip mode in V-DMC;advancements in Lenslet video coding: insights from MPEG LVC;advanced learning-based inter prediction for future video coding;packed regions information SEI message;content-adaptive rate-quality curve prediction model in media processing system;deep reinforcement learning-based camera autofocus with gaussian process regression;and frame similarity-based screen content video quality enhancement via adaptive long short-term fusion.
The proceedings contain 132 papers. The topics discussed include: adaptive rounding operator for efficient Wyner-Ziv video coding;retina model inspired image quality assessment;color image guided locality regularized ...
ISBN:
(纸本)9781479902903
The proceedings contain 132 papers. The topics discussed include: adaptive rounding operator for efficient Wyner-Ziv video coding;retina model inspired image quality assessment;color image guided locality regularized representation for kinect depth holes filling;motion vector refinement for frame rate up conversion on 3d video;efficient active contour model based on Vese-Chan model and split Bregman method;HEVC interpolation filter architecture for quad full HD decoding;correlation estimation for distributed wireless video communication;enhancing coded video quality with perceptual foveation driven bit allocation strategy;soft mobile video broadcast based on side information refining;quality enhancement based on retinex and pseudo-HDR synthesis algorithms for endoscopic images;and object co-segmentation based on directed graph clustering.
The proceedings contain 113 papers. The topics discussed include: visual analysis motivated super-resolution model for image reconstruction;hierarchical reinforcement learning based video semantic coding for segmentat...
ISBN:
(纸本)9781665475921
The proceedings contain 113 papers. The topics discussed include: visual analysis motivated super-resolution model for image reconstruction;hierarchical reinforcement learning based video semantic coding for segmentation;distinguishing computer-generated images from photographic images: a texture-aware deep learning-based method;high-speed scene reconstruction from low-light spike streams;one shot object detection via hierarchical adaptive alignment;reduced reference quality assessment for point cloud compression;a fast and effective framework for camera calibration in sport videos;dynamic mesh commonality modeling using the cuboidal partitioning;CNN-based post-processing filter for video compression with multi-scale feature representation;history-parameter-based affine model inheritance;robust dynamic background modeling for foreground estimation;space and level cooperation framework for pathological cancer grading;and semantic attribute guided image aesthetics assessment.
The proceedings contain 125 papers. The topics discussed include: two-stream federated learning: reduce the communication costs;a new update strategy for blocks with low correlation in 3-D recursive search;eye movemen...
ISBN:
(纸本)9781538644584
The proceedings contain 125 papers. The topics discussed include: two-stream federated learning: reduce the communication costs;a new update strategy for blocks with low correlation in 3-D recursive search;eye movement pattern modeling and visual comfort viewing S3D images;motion trajectory based spatial-temporal degradation measurement for video quality assessment;two-pass rate control for constant quality in high efficiency video coding;adaptive motion vector prediction for omnidirectional video;generative adversarial network-based frame extrapolation for video coding;a CNN-based in-loop filter with CU classification for HEVC;synthesizing 3D acoustic-articulatory mapping trajectories: predicting articulatory movements by long-term recurrent convolutional neural network;analysis of smoothed LHE methods for processingimages with optical illusions;and deep network with spatial and channel attention for person re-identification.
Recent studies point to an accuracy gap between humans and Artificial Neural Network (ANN) models when classifying blurred images, with humans outperforming ANNs. To bridge this gap, we introduce a spectral channel-ba...
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fMRI (functional Magnetic Resonance Imaging) visual decoding involves decoding the original image from brain signals elicited by visual stimuli. This often relies on manually labeled ROIs (Regions of Interest) to sele...
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Perceptual organization is the process of assigning each part of a scene to a specified association of features to be a part of the same organization. In the twenty century, Gestalt psychologists formalized how image ...
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ISBN:
(纸本)9781728180687
Perceptual organization is the process of assigning each part of a scene to a specified association of features to be a part of the same organization. In the twenty century, Gestalt psychologists formalized how image features tend to be grouped by giving a set of organizing principles. In this paper, we propose an approach for the detection of perceptual groups in an image. We are mainly interested in features grouped by the proximity law of Gestalt. We conceive an object-based model within a stochastic framework using a marked point process (MPP). We use a Bayesian learning method to extract perceptual groups in a scene. The proposed model tested on synthetic images proves the efficient detection of perceptual groups in noisy images.
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