Film shot classification using directing semantics

We propose a film directing semantics taxonomy grounded upon cinematographic elements to unlock the immense potential for motion indexing in the subtler and much neglected film domain. A novel “directing-rule” inspired MRF-based motion segmentation algorithm is formulated to extract salient motion descriptors for the classification of the proposed directing semantics. Experimental results validate the resultant framework for classifying Hollywood movie shots into these directing semantics.