nj-hevc Goto Github PK

a-content-adaptive-rate-control-algorithm-implementation

To explore the Content Adaptive Encoding, I try to implement a GOP-level rate Control solution

androidosddemo

基于Android NDK Osd实现，利用了SDL2_TTF把矢量字体转成bmp格式，然后把bmp转换成yuv格式，在YUV数据上做OSD叠加。

background-modeling

Background modeling using Gaussian Mixture Model - C++

bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

edges

Implementation of some classical edge detection algorithms; Roberts, Prewitt, Sobel, Haralick and Marr-Hildreth.

google-research

Google Research

h264-roi

H.264 video Region of Interest encoding tool, using x264

hevc-complexity-reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

hevc-cu-depths-prediction-cnn

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

hevc-rate-control

HEVC rate control

hevc-roi

FH Projekt, HEVC-Encoding mit ROI

hif-database

A large-scale database for HEVC in-loop filter (HIF).

image-compression-based-on-roi

Medical Image Compression Based On ROI (Reason of Interest)

image_processing_hcmus

Geometric Transform - Color Transformer - Edge Dectector (prewitt, laplace, sobel)

invesalius3

3D medical imaging reconstruction software

kvazaar

An open-source HEVC encoder

libbpg

libbpg (copy of the source code for easy access)

medical-image-compression

mri-qa

The assessment of quality of MRI is in important precursor to ameliorating biases in subsequent data analysis and precluding erroneous acquisitions. Since manual visual inspection is impractical for large volumes of data, as well as being subjective in nature, it is very useful to automate the task of image quality assessment (IQA). There is existing research on IQA, that typically utilize hand-crafted visual features in conjunction with machine learning algorithms. However, these techniques have been made obsolete in many research fields by much more powerful and expressive deep learning based models. We introduce a model that uses a Convolutional Neural Network for feature extraction from 3D volumes of MRI data of a subject and a Fully Connected Network for classification of the quality of the MRI. This model is trained on a multi-site freely available dataset, called ABIDE 1, used in study of Autism. By utilizing two of the seventeen sites as hold-out data, we demonstrate that our model achieves state-of-art performance on unseen data from novel sites. Furthermore, we evaluate our trained model on a MRI dataset from TCIA, used in study of Glioblastoma, to demonstrate the ability of our model to effectively adapt to different types of neuro-imaging data.

multi-rate-hevc

Multi-rate HEVC encoder based on HM 16.7 that implements a CU structure reuse from a high-quality reference to lower-quality dependent encodings, as described in: D. Schroeder, P. Rehm, and E. Steinbach, "Block structure reuse for multi-rate High Efficiency Video Coding", Proc. IEEE ICIP 2015, Sep. 2015, Québec, Canada.

multi-rate-x265

Multi-rate HEVC encoder based on x265 2.0 that implements a CU structure reuse from a high-quality reference to lower-quality dependent encodings, as described in: D. Schroeder, P. Rehm, and E. Steinbach, "Block structure reuse for multi-rate High Efficiency Video Coding", Proc. IEEE ICIP 2015, Sep. 2015, Québec, Canada.

opencv

Open Source Computer Vision Library

opencv_select_non_rect_roi

Select non rectangular ROI in video

perl_extract_bitrate

This is the perl scripts to extract bitrates and PSNR from all the .txt files. Author: [email protected]

pydicom

Read, modify and write DICOM files with python code

pyedge

Implements the Sobel, Roberts, and Prewitt edge detection operators.

radiomics

MATLAB programming tools for radiomics analysis

rate-control-tests

Tests for different rate control modes in x264

region-of-interest-based-medical-image-compression