RidgeRun has experience in the design, development and optimization of computer vision on video applications, by implementing machine learning and deep learning algorithms according to the capabilities of the hardware platform where the applications must be executed.

In this article, Toptal Freelance Software Engineer Michael Karchevsky walks through a solution for a machine learning competition that identifies the species and lengths of any fish present in a given video segment.

Feb 17, 2021 · In this article, we explore how to build a pipeline and process real-time video with Deep Learning to apply this approach to business use cases overviewed in our research.

3 days ago · To address these challenges, this study proposes a deep learning-based short video content analysis and recommendation algorithm that enhances feature extraction and personalization.

Jul 22, 2021 · Machine learning for video analysis has made significant strides in recent years, with more effective video summarization techniques. Researchers have developed algorithms that summarize sports games by identifying pivotal plays and highlights, which greatly enhance the viewing experience.

Mar 27, 2025 · Inspired by DeepSeek-R1's success in eliciting reasoning abilities through rule-based reinforcement learning (RL), we introduce Video-R1 as the first attempt to systematically explore the R1 paradigm for eliciting video reasoning within multimodal large language models (MLLMs). However, directly applying RL training with the GRPO algorithm to video reasoning presents two primary challenges: (i ...

Mar 4, 2025 · Machine learning provides the foundation for automated video understanding by enabling algorithms to learn patterns from data without explicit programming. Supervised learning, unsupervised learning, and reinforcement learning are the primary paradigms employed in …

This article delves into the intricate world of personalized video recommendations, exploring the various machine learning (ML) algorithms that make this innovation possible.

4 days ago · Machine Learning Algorithms in Depth dissects and explains dozens of algorithms across a variety of applications, including finance, computer vision, and NLP. Each algorithm is mathematically derived, followed by its hands-on Python implementation along with insightful code annotations and informative graphics.

Machine learning algorithms are the core of adaptive streaming, automatically adjusting video quality according to a user’s internet speed and device capabilities. Amazon Prime and Netflix use ML models to predict network conditions and adjust their streaming accordingly to ensure smooth playback during peak periods.