Succeeding metadata based annotation scheme and visual tips for the automatic assessment of video aesthetic quality in car commercials
Visual descriptors are used for the automatic assessment of aesthetics in car spots. 72.18% classification accuracy for 2 classes. Also significant results with up to 5. New video descriptors are demonstrated as indicative of viewer subjective perception. A metadata based clustering method is validated for the annotation of video corpora. 3 annotation strategies are tested according to how metadata are generated by viewers.
automatic video annotation aesthetic quality assessment video sentiment analysis video metadata youtube