Which OCI feature would you use to analyze and label objects in video streams?

Which OCI feature would you use to analyze and label objects in video streams?

• A. Image Analysis
• B. Video Analytics
• C. Object Detection
• D. Scene Recognition

Answer: (C)

To analyze and label objects in video streams, the most suitable feature to use is Video Analytics. This feature is specifically designed for processing video content and can handle tasks such as object detection within video frames. While object detection is a part of Video Analytics, the broader term encompasses several functionalities tailored for video, making it the optimal choice for analyzing time-based media such as video streams. Image Analysis typically pertains to static images rather than video content, and Scene Recognition primarily focuses on identifying general settings and contexts within images or scenes. Thus, while they all relate to visual data processing, they do not specifically cater to the requirements of video analysis and labeling as effectively as Video Analytics does.

To analyze and label objects in video streams, the most suitable feature to use is Video Analytics. This feature is specifically designed for processing video content and can handle tasks such as object detection within video frames. While object detection is a part of Video Analytics, the broader term encompasses several functionalities tailored for video, making it the optimal choice for analyzing time-based media such as video streams.

Image Analysis typically pertains to static images rather than video content, and Scene Recognition primarily focuses on identifying general settings and contexts within images or scenes. Thus, while they all relate to visual data processing, they do not specifically cater to the requirements of video analysis and labeling as effectively as Video Analytics does.