Method and apparatus for video frame processing

An apparatus for video frame processing, comprising:

• a processor;
• and
• a memory storing program instructions which, when executed by the processor, are operable with the processor to:
• obtain a convolutional neural network (CNN) feature of a target video frame and a local feature of the target video frame, the local feature of the target video frame comprising a first key point of the target video frame and a feature descriptor corresponding to the first key point;
• perform dimension reduction on the CNN feature of the target video frame to obtain a CNN feature with a reduced dimension of the target video frame;
• obtain a first video frame from a plurality of sample video frames, a distance between a CNN feature with a reduced dimension of the first video frame and the CNN feature with the reduced dimension of the target video frame meeting a first preset condition;
• obtain a local feature of the first video frame, the local feature of the first video frame comprising a second key point in the first video frame and a feature descriptor corresponding to the second key point;
• calculate a matching degree between the local feature of the first video frame and the local feature of the target video frame;
• and
• determine the first video frame as a duplicate video frame of the target video frame if the matching degree meets a second preset condition.

A non-transitory computer readable storage medium storing program instructions which, when executed by a computer, are operable with the computer to:

• obtain a convolutional neural network (CNN) feature of a target video frame and a local feature of the target video frame, the local feature of the target video frame comprising a first key point of the target video frame and a feature descriptor corresponding to the first key point;
• perform dimension reduction on the CNN feature of the target video frame to obtain a CNN feature with a reduced dimension of the target video frame;
• obtain a first video frame from a plurality of sample video frames, a distance between a CNN feature with a reduced dimension of the first video frame and the CNN feature with the reduced dimension of the target video frame meeting a first preset condition;
• obtain a local feature of the first video frame, the local feature of the first video frame comprising a second key point in the first video frame and a feature descriptor corresponding to the second key point;
• calculate a matching degree between the local feature of the first video frame and the local feature of the target video frame;
• and
• determine the first video frame as a duplicate video frame of the target video frame if the matching degree meets a second preset condition.