PROCEEDINGS VOLUME 10752
SPIE OPTICAL ENGINEERING + APPLICATIONS | 19-23 AUGUST 2018
Applications of Digital Image Processing XLI
Editor(s): Andrew G. Tescher
Proceedings Volume 10752 is from: Logo
SPIE OPTICAL ENGINEERING + APPLICATIONS
19-23 August 2018
San Diego, California, United States
Front Matter: Volume 10752
Proc. SPIE 10752, Front Matter: Volume 10752, 1075201 (19 September 2018); doi: 10.1117/12.2514600
Object Detection and Tracking
Proc. SPIE 10752, Tomographic imaging with wireless sensor networks, 1075202 (17 September 2018); doi: 10.1117/12.2314860
Proc. SPIE 10752, Monitoring refractory wear in a coke oven under high temperature, 1075203 (17 September 2018); doi: 10.1117/12.2319899
Proc. SPIE 10752, Comparison of non-uniformity correction methods in midwave infrared focal plane arrays of high speed platforms, 1075204 (17 September 2018); doi: 10.1117/12.2319937
Proc. SPIE 10752, Generating simulated SAR images using Generative Adversarial Network, 1075205 (17 September 2018); doi: 10.1117/12.2320024
Proc. SPIE 10752, Robust night target tracking via infrared and visible video fusion, 1075206 (17 September 2018); doi: 10.1117/12.2320450
Proc. SPIE 10752, Natural scene text detection and recognition with a three-stage local phase-based algorithm , 1075207 (17 September 2018); doi: 10.1117/12.2320646
Proc. SPIE 10752, Automatic identification of diatoms using descriptors obtained in the plane of frequencies, 1075208 (17 September 2018); doi: 10.1117/12.2320869
Plenoptic Imaging
Proc. SPIE 10752, Three dimensional reconstruction using a lenslet light field camera, 1075209 (17 September 2018); doi: 10.1117/12.2319552
Proc. SPIE 10752, Canonical 3D object orientation for interactive light-field visualization, 107520A (17 September 2018); doi: 10.1117/12.2320556
Proc. SPIE 10752, Steered mixture-of-experts for light field video coding, 107520B (17 September 2018); doi: 10.1117/12.2320563
Proc. SPIE 10752, Analysis of motion vectors and parallel computing in pseudo-sequence based light field image compression methods, 107520C (17 September 2018); doi: 10.1117/12.2320663
Proc. SPIE 10752, Light field image coding: objective performance assessment of Lenslet and 4D LF data representations, 107520D (17 September 2018); doi: 10.1117/12.2322713
Proc. SPIE 10752, A graph learning approach for light field image compression, 107520E (17 September 2018); doi: 10.1117/12.2322827
Proc. SPIE 10752, The perceived quality of light-field video services, 107520F (17 September 2018); doi: 10.1117/12.2320562
Proc. SPIE 10752, Predicting 3D visual discomfort using natural scene statistics and a binocular model, 107520G (17 September 2018); doi: 10.1117/12.2320902
Proc. SPIE 10752, Point cloud subjective evaluation methodology based on reconstructed surfaces, 107520H (17 September 2018); doi: 10.1117/12.2321518
Proc. SPIE 10752, A novel methodology for quality assessment of voxelized point clouds, 107520I (17 September 2018); doi: 10.1117/12.2322741
Proc. SPIE 10752, A digital hologram compression scheme for representation on the object plane , 107520J (17 September 2018); doi: 10.1117/12.2323442
Video Transmission and Quality Optimization
Proc. SPIE 10752, Predicting the quality of images compressed after distortion in two steps, 107520K (17 September 2018); doi: 10.1117/12.2318995
Proc. SPIE 10752, Spatial resolution adaptation framework for video compression, 107520L (17 September 2018); doi: 10.1117/12.2320520
Proc. SPIE 10752, A user model for JND-based video quality assessment: theory and applications, 107520M (17 September 2018); doi: 10.1117/12.2320813
Proc. SPIE 10752, Combining tile parallelism with slice partitioning in video coding, 107520N (17 September 2018); doi: 10.1117/12.2320937
Proc. SPIE 10752, Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms, 107520O (17 September 2018); doi: 10.1117/12.2321270
Proc. SPIE 10752, Subjective and objective quality assessment of omnidirectional video, 107520P (17 September 2018); doi: 10.1117/12.2321679
Proc. SPIE 10752, Video codec comparison using the dynamic optimizer framework, 107520Q (17 September 2018); doi: 10.1117/12.2322118
Proc. SPIE 10752, Geo-popularity assisted optimized transcoding for large scale adaptive streaming, 107520R (17 September 2018); doi: 10.1117/12.2322191
Proc. SPIE 10752, Using modern motion estimation algorithms in existing video codecs, 107520S (17 September 2018); doi: 10.1117/12.2322411
Proc. SPIE 10752, Using video quality metrics for something other than compression, 107520T (17 September 2018); doi: 10.1117/12.2322506
Future Video
Proc. SPIE 10752, Performance comparison of VVC, AV1, and HEVC on 8-bit and 10-bit content, 107520V (17 September 2018); doi: 10.1117/12.2322024
Proc. SPIE 10752, Adaptive reshaping for next generation video codec, 107520W (17 September 2018); doi: 10.1117/12.2320807
Proc. SPIE 10752, An adaptive quantization method for 360-degree video coding, 107520X (17 September 2018); doi: 10.1117/12.2321963
Proc. SPIE 10752, On the adaptive selection of partitioning tree types for coding video color channels, 107520Y (17 September 2018); doi: 10.1117/12.2322958
Proc. SPIE 10752, An overview of end-to-end HDR, 107520Z (17 September 2018); doi: 10.1117/12.2322600
Proc. SPIE 10752, HDR compression in the JVET codec, 1075210 (17 September 2018); doi: 10.1117/12.2322028
Proc. SPIE 10752, Deep learning techniques in video coding and quality analysis, 1075211 (17 September 2018); doi: 10.1117/12.2322025
Proc. SPIE 10752, Machine Learning approach for global no-reference video quality model generation, 1075212 (17 September 2018); doi: 10.1117/12.2320996
Proc. SPIE 10752, Neural network based intra prediction for video coding, 1075213 (17 September 2018); doi: 10.1117/12.2321273
Proc. SPIE 10752, Intra prediction with deep learning, 1075214 (17 September 2018); doi: 10.1117/12.2320551
Proc. SPIE 10752, Video quality analysis framework for spatial and temporal artifacts, 1075215 (17 September 2018); doi: 10.1117/12.2322328
Proc. SPIE 10752, Efficient implementation of enhanced multiple transforms for video coding, 1075216 (17 September 2018); doi: 10.1117/12.2501262
Image Restoration, Enhancement, and Visualization I
Proc. SPIE 10752, Challenges of eye tracking systems for mobile XR glasses, 1075217 (17 September 2018); doi: 10.1117/12.2322657
Proc. SPIE 10752, Neural net architectures for image demosaicing, 1075218 (17 September 2018); doi: 10.1117/12.2322353
Proc. SPIE 10752, Identification of 3D objects using correlation of holograms, 1075219 (17 September 2018); doi: 10.1117/12.2322668
Proc. SPIE 10752, Real-time video stitching based on ORB features and SVM, 107521A (17 September 2018); doi: 10.1117/12.2320032
Proc. SPIE 10752, A real-time perception system for autonomous cars targeting highways, 107521B (17 September 2018); doi: 10.1117/12.2326775
Proc. SPIE 10752, A video smoke detection method based on structural similarity index determined by complexity of image, 107521C (17 September 2018); doi: 10.1117/12.2320210
Proc. SPIE 10752, IRSUM: inter-frame registration based non-uniformity correction using spatio-temporal update mask , 107521D (17 September 2018); doi: 10.1117/12.2320435
Proc. SPIE 10752, Optical surface inspection: A novelty detection approach based on CNN-encoded texture features, 107521E (17 September 2018); doi: 10.1117/12.2320657
Proc. SPIE 10752, Aesthetic color templates for enhancing casual videos, 107521F (17 September 2018); doi: 10.1117/12.2320877
Proc. SPIE 10752, Noise analysis of two pattern recognition methodologies using binary masks based on the fractional Fourier transform, 107521H (17 September 2018); doi: 10.1117/12.2321599