This repository contains the codebase for MovieCLIP: Visual Scene Recognition in Movies

Functional visual programming language with FRP for multimedia

This project showcases real-time image and video compression using OpenCV in C++. The code allows users to choose between image or video compression and specify the compression level. The project utilizes multithreading to achieve efficient compression performance.

A framework that enables flexibly distributed pipelines for millisecond-scale and real-time applications

This is an algorithm to identify human voice and do segmentation automatically. The result will be compared to the manual segmentation data, then a accuracy report will be generated based on match rate, insertion rate and omission rate.

A lightweight, modern web application that extracts text from images and videos directly in your browser. Built with a zero-trust privacy model, it ensures that your sensitive documents and media never leave your device.

Audio synthesizer that plays scores. It can employ features like vibrato and tremolo to emulate true instrument performances.

Real-time emotion recognition system with Flask backend and React Native frontend. Uses TensorFlow models for facial and audio emotion detection. Supports video processing with temporal smoothing and RESTful API endpoints for emotion prediction.

Software engineering project focused on requirements analysis and architectural design for extending PictuRAS with video processing capabilities.

FFmpegSuit es una aplicación Java de escritorio (y consola) que actúa como interfaz gráfica amigable para FFmpeg, la herramienta de procesamiento multimedia más potente del mundo. Permite convertir, recodificar y escalar videos de forma sencilla, ya sea arrastrando archivos a la interfaz gráfica o ejecutándola directamente desde la terminal.

Exploratory Java project to digital-media concepts.