Improved shot boundary detection method based on text edges
Shot boundary detection is a pre-requisite technique for video indexing and retrieval. To avoid the influence of flashlight on abrupt shot detection, many edge-based techniques are studied thoroughly. However, these techniques are still susceptible to miss and mistake detecting the abrupt changes. Our observation shows that one of the reasons for these errors is the existence of superimposed text which has rich edges and is ever presented in video frames. To provide a solution, we present a novel method that utilizes the edge type, text edge (edge in text area) or non-text-edge (edge in other text area), reducing erroneous detection with the appearance of video text. Compared to other edge-based detection techniques, experimental results show that our proposed method achieves preferable performance.