Video Search System for Frame-Based Content Identification

The existing image identifying technology is extended to handle both photo-based and video-based searches. The system maintains the accurate identification capabilities for photos while adding video frame extraction and analysis functions, allowing the same identification engine to work with both static images and video content through a unified interface.

The video search functionality is implemented by segmenting video content into individual frames that can be processed by the existing image identification system. The video is divided into discrete searchable units (frames), allowing the photo-based identification technology to be applied to video content without requiring complete redesign of the identification engine.

An intermediary layer is introduced between the video content and the image identification system. This intermediary handles video-specific operations such as frame extraction, timestamp management, and video metadata processing, while presenting standardized image data to the existing identification engine. This mediator approach adds video search versatility without significantly increasing the complexity of the core identification system.

Video frames are pre-processed and prepared before being submitted to the identification system. Frames are extracted, resized, and formatted in advance, so that when search queries are executed, the identification engine receives ready-to-process images rather than having to handle raw video data. This preliminary preparation reduces the computational complexity during actual search operations.