Extract elementary stream from all kinds of media files, show inside media meta information and reconstruct Transport-Stream, ISOBMFF, Matroska and MMT media files
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Updated
Dec 13, 2022 - C++
Extract elementary stream from all kinds of media files, show inside media meta information and reconstruct Transport-Stream, ISOBMFF, Matroska and MMT media files
Customizable Real-time Communication Engine/SFU library focused on WebRTC.
DCT, IDCT, DWT, IDWT, This assignment will helped us to gain an understanding of issues that relate to image compression, by comparing and contrasting the frequency space representations using the Discrete Cosine Transform and the Discrete Wavelet Transform.
CSCI576 Final Project. Detecting and Replacing Advertisements in Multimedia Content based on Brand Images/Logos.
This repository/directory contains the data and scripts used to produce the figures and results from the paper: Praveen Kumar Yadav, Arash Shafiei, Wei Tsang Ooi, QUETRA: A Queuing Theory Approach to DASH Rate Adaptation, In Proceedings of ACM Multimedia 2017, Mountain View, CA, 23-27 October, 2017.
PlaySEM Sensory Effects Renderer (SER) is a framework for delivering sensory effects such as wind, smell, vibration, and light to heterogeneous systems. It deals with variability in digital multisensory systems (mainly mulsemedia) allowing the use of different devices, SDKs/APIs, and many protocols to communicate with diversified applications.
PlaySEM Sensory Effect (SE) Video Player is a media application based on VLC that reproduces audiovisual content. If the content has sensory effects metadata associated with it and the player is connected to a SER (Sensory Effects Renderer) then it is able to deliver sensory effects such as wind, vibration, external lighting, smell, and so on..
Apuntes y prácticas de la asignatura SMM de la ETSIIT (UGR)
Zero-Example Video Search
University Project
CSDLO5011: Multimedia System [MS] <Semester V>
Repositório do trabalho prático no âmbito da UC de Engenharia de Serviços em Rede (ESR) - Mestrado em Engenharia Informática (MEI/MIEI) - Universidade do Minho (UMinho)
Crack your Embedded Interview - Books and Materials
Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.
This is the official repository of the Eastling editor. It is part of the Eastling suite: Easy Annotation and Synchronization Tool for linguists.
HW of Applied Cryptography and MultiMedia Systems
This project delves into the realm of advanced multimedia processing, with a particular focus on video data. Leveraging the power of Python, I have implemented motion compensation techniques, which are fundamental to video compression and transmission standards.
An AI-powered web application leveraging Next.js 14 and TensorFlow.js for real-time object detection. Utilizing Tensorflow model for accurate detection, webcam integration for live video streams, and Media Recorder API for seamless recording.
A Literature Review of AI-Based Multimedia Technology
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