Autoencoders are a powerful class of neural networks widely used for unsupervised learning tasks, particularly in the field of deep learning. They are a fundamental tool in data representation and compression, and they have gained significant attention in various domains, …
Using autoencoders for video data labeling – Labeling Video Data Read more »
Assuming you have already downloaded and extracted the Kinetics dataset from GitHub, let’s proceed further:# Define the path to the Kinetics Human action dataset# Specify the directoriesdance = “<your_path>/datasets/Ch9/Kinetics/dance”brush = “<your_path>/datasets/Ch9/Kinetics/brushing”new_video_data = “<your_path>/datasets/Ch9/Kinetics/test”# Load video data and get the maximum …
Building a CNN model for labeling video data – Labeling Video Data-2 Read more »
In this section, we will explore the process of building CNN models to label video data. We learned the basic concepts of CNN in Chapter 6. Now, we will delve into the CNN architecture, training, and evaluation techniques required to …
Building a CNN model for labeling video data – Labeling Video Data-1 Read more »
The era of big data has ushered in an exponential growth of multimedia content, including videos, which are becoming increasingly prevalent in various domains, such as entertainment, surveillance, healthcare, and autonomous systems. Videos contain a wealth of information, but to …
Real-time video processing involves analyzing and manipulating video data with minimal latency, often crucial for applications such as surveillance, robotics, and live streaming. Its challenges are as follows: Here are some common techniques for real-time video data capturing and processing: …
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Concept: Facial recognition involves identifying and verifying faces in videos. It’s used in security systems, user authentication, and various human-computer interaction applications. Tools: OpenCV (for face detection), Dlib (for facial landmark detection), and face recognition libraries (e.g., face_recognition) Here’s a …
Facial recognition in videos – Exploring Video Data Read more »
Advanced concepts in video data analysis The following concepts are fundamental in video data analysis and are commonly applied in real-world machine learning applications. Let’s see those concepts briefly here. Please note that the implementation of some of these concepts …
Motion analysis in videos – Exploring Video Data Read more »