150x150_623c9edd9fa11016d4bc76e2393078b9_frame_... -

: This represents the resolution or spatial dimensions. In feature extraction, this usually indicates a "patch" or a "region of interest" cropped from a larger image to be fed into a neural network.

In technical contexts like those discussed on IEEE Xplore , "informative features" refer to the specific data points—like edges, textures, or keypoints—extracted from a frame to help a machine make a decision. 150x150_623c9edd9fa11016d4bc76e2393078b9_frame_...

: This is a unique hash . In systems like GitHub or data versioning tools, this ensures that even if two files have the same name, their specific contents are distinguished. : This represents the resolution or spatial dimensions

: Identifying a specific item in a video stream. : This is a unique hash

: Normalizing image sizes for consistent training of a model. Summary Feature Table Value/Type Dimensions 150 x 150 pixels Uniform input size for ML models Source ID Alphanumeric Hash Traceability to the original asset Data Type Video Frame Sequential data for temporal analysis Common Format .jpg, .png, or .npy Standard image or numpy array storage