Feature-based video annotation

A system for annotating videos, the method comprising:

• a memory;
• and
• a hardware processor that, when executing computer executable instructions stored in the memory, is configured to:
• identify a plurality of entities identifying characteristics of video items;
• select a set of features correlated with the plurality of entities based on a value of a feature of a plurality of features;
• determine a classifier for the plurality of entities using the set of features;
• determine an aggregation calibration function for the plurality of entities based on the set of features;
• select a video frame from a video item, the video frame having associated features;
• and
• determine a probability of existence for each entity of the plurality of entities based on the associated features of the video frame using the classifier and the aggregation calibration function, wherein the probability of existence for each entity of the plurality of entities are normalized.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for annotating videos, the method comprising:

• identifying a plurality of entities identifying characteristics of video items;
• selecting a set of features correlated with the plurality of entities based on a value of a feature of a plurality of features;
• determining a classifier for the plurality of entities using the set of features;
• determining an aggregation calibration function for the plurality of entities based on the set of features;
• selecting a video frame from a video item, the video frame having associated features;
• and
• determining a probability of existence for each entity of the plurality of entities based on the associated features of the video frame using the classifier and the aggregation calibration function, wherein the probability of existence for each entity of the plurality of entities are normalized.