4. The annotation addition method according to claim 1 , wherein, the initial annotation obtaining step is achieved by carrying out one of steps of: letting a user voluntarily input the initial annotations; automatically extracting one or more annotations carried by the input medium file itself; automatically extracting other information carried by the input medium file itself and converting it into an annotation format; and utilizing other information carried by the input medium file itself so as to acquire the initial annotations from a third party.
1. An annotation addition method of adding one or more annotations into an input medium file, comprising: an annotation detection model creation step of creating one or more annotation detection models based on one or more training samples formed by one or more existing media files having one or more annotations; an annotation coexistence coefficient extraction step of extracting one or more coexistence coefficients of any two annotations based on appearance frequencies of the annotations in the training samples; a medium file input step of inputting the input medium file; a sense-of-vision feature extraction step of extracting one or more sense-of-vision features from the input medium file, the sense of vision features which are extracted include a low level feature including at least a Fourier description of the input medium file, and a high level feature including at least a creation environment of the input medium file; an initial annotation obtaining step of obtaining one or more initial annotations of the input medium file; a candidate annotation acquiring step of acquiring one or more candidate annotations based on the initial annotations and the coexistence coefficients of the annotations in the training samples, wherein the candidate annotation acquiring step includes: determining, for each of the one or more training samples, coexistence frequencies of any two annotations in a same one of the one or more existing media files; calculating a number of the existing media files which include at least one of the annotation; and acquiring annotation coexistence coefficients of any two annotations, based on the number of the existing media files which has been calculated; and a final annotation set selection step of selecting a final annotation set suitable for describing content of the input medium file from the candidate annotations based on the sense-of-vision features of the input medium file and the coexistence coefficients by using the annotation detection models.