AI for Multimedia Recognition and Segmentation
G. Saranya, N. Krishnaraj, Priyanga Subbiah, Kiran Bellam · Advances in computational intelligence and robotics book series · 2025
Recent AI and multimedia analysis advances have changed our visual content viewing and interaction. This study evaluates new AI multimedia recognition and segmentation technologies. Multimedia object, scene, action, and emotion recognition is crucial in entertainment, healthcare, security, and education. AI-based recognition systems are studying CNN, RNN, and deep learning architectures. Photo, video, and multimedia segmentation algorithms that correctly detect and extract areas of interest are also explored. AI-driven multimodal data fusion improves detection and segmentation by combining photos, videos, text, and audio. This paper evaluates their progress. Multimedia AI analysis concerns dataset bias, scalability, real-time processing, and ethics. AI multimedia recognition and segmentation are thoroughly studied in this article. This field's successes, limitations, and promise are highlighted. These technologies could change how we perceive and interact with massive amounts of visual data, enabling new applications and advances in many fields.