Logo recognition in images and videos

An apparatus comprising:

• at least one processor;
• and
• a memory in communication with the at least one processor, the memory including non-transitory computer-readable code which, when executed, cause the at least one processor to at least:
• apply a saliency analysis and segmentation of selected regions in a selected video frame to determine segmented likely logo regions;
• process the segmented likely logo regions with feature matching using correlation to generate a first match, neural network classification using a convolutional neural network to generate a second match, and text recognition using character segmentation and string matching to generate a third match;
• and
• decide a most likely logo match by combining results from the first match, the second match, and the third match.

A non-transitory computer-readable storage medium storing code which, when executed, cause a machine to at least:

• apply a saliency analysis and segmentation of selected regions in a selected video frame to determine segmented likely logo regions;
• process the segmented likely logo regions with feature matching using correlation to generate a first match, neural network classification using a convolutional neural network to generate a second match, and text recognition using character segmentation and string matching to generate a third match;
• and
• decide a most likely logo match by combining results from the first match, the second match, and the third match.