video-processing

I have a web app that is hosted in Azure; one of it's functionalities is to be able to make a few cuts from the video(generate 2 or 3 small videos of 5-10 seconds from a larger video). The videos are persisted in Azure Blob Storage. How do you suggest to accomplish this in the Azure environment? The actual cutting of the videos will be initiated by a web job. I'm also concerned about the pricing(within the Azure environment), I'm taking into account the possibility of high traffic. Any feedback is appreciated. Thank you. Assuming you have video-cutting code that operates on files through

The scenario I'm dealing with is actually as follow: I need to get the screen generated by OpenGL and send it through HDMI to a FPGA component while keeping the alpha channel. But right now the data that is being sent through HDMI is only RGB (24bit without alpha channel) So i need a way to force sending the Alpha bits through this port somehow. See image: http://i.imgur.com/hhlcbb9.jpg One solution i could think of is to convert the screen buffer from RGBA mode to RGB while mixing the Alpha channels within the RGB buffer. For example: The original buffer: [R G B A][R G B A][R G B A] The

I'm trying to do video processing using GLSL. I'm using OpenCV to open a video file up and take each frame as a single image an then I want to use each frame in a GLSL shader What is the best/ideal/smart solution to using video with GLSL? Reading From Video VideoCapture cap("movie.MOV"); Mat image; bool success = cap.read(image); if(!success) { printf("Could not grab a frame\n\7"); exit(0); } Image to Texture GLuint tex; glGenTextures(1, tex); glActiveTexture(GL_TEXTURE0); glBindTexture(GL_TEXTURE_2D, tex); glTexImage2D(GL_TEXTURE_2D, 0, GL_RGB, image.cols, image.rows, 0, GL_BGR, GL_UNSIGNED

I am thresholding for a color range in an opencv video. The goal is to seperate the B-mode (black and white, information on location but not velocity) from color-flow doppler mode (velocity infomation) in medical ultrasound videos for an academic project. I have tried to threshold based on an HSV hue range that I have rebuilt from the color scale delivered by the ultrasound machine (light blue [opencv hue 90] to yellow [opencv hue 35]). Unfortunately, the results are not good. Have I made a mistake in the thresholding? Or would there be a another way to achieve the desired results? Below is my

I have checked this question. It is very similar: I want to record a video with android camera. After that with a library remove the background, which is with chroma key. First I think I should use android NDK in order to escape from SDK memory limitation and use the whole memory. The length of the video is short, a few seconds so maybe is able to handle it. I would prefer to use an SDK implementation and set the android:largeHeap="true" , because of mismatching the .so files architecture. Any library suggestion for SDK or NDK please. IMO you should prefer NDK based solution, since video

I have been working on video stabilization for quite a few weeks now. The algorithm I'm following basically involves 3 steps :- 1. FAST feature detection and Matching 2. Calculating affine transformation (scale + rotation + translation x + translation y ) from matched keypoints 3. Smooth motion parameters using cubic spline or b-spline. I have been able to calculate affine transform. But I am stuck at smoothing motion parameters. I have been unable to evaluate spline function to smooth the three parameters. Here is a graph for smoothed data points Any suggestion or help as to how can I code to