In this paper, we present VSCAN, a novel approach for generating static video summaries. This approach is based on a modified DBSCAN clustering algorithm to summarize the video content utilizing both color and texture features of the video frames. The paper also introduces an enhanced evaluation method that depends on color and texture features. Video Summaries generated by VSCAN are compared with summaries generated by other approaches found in the literature and those created by users. Experimental results indicate that the video summaries generated by VSCAN have a higher quality than those generated by other approaches.
In @cite_11 , an approach called STIMO (STIll and MOving Video Storyboard) is introduced. This approach is designed to produce on-the-fly video storyboards and it is composed of three phases. In the first phase, the video frames are pre-sampled and then feature vectors are extracted from the selected video frames by computing a color histogram in the HSV color space. In the second phase, a clustering method based on the Furthest-Point-First (FPF) algorithm is applied. To estimate the number of clusters, the pairwise distance of consecutive frames is computed using Generalized Jaccard Distance (GJD). Finally, a post-processing step is performed for removing noise video frames.
@cite_11
1989863986
In the current Web scenario a video browsing tool that produces on-the-fly storyboards is more and more a need. Video summary techniques can be helpful but, due to their long processing time, they are usually unsuitable for on-the-fly usage. Therefore, it is common to produce storyboards in advance, penalizing users customization. The lack of customization is more and more critical, as users have different demands and might access the Web with several different networking and device technologies. In this paper we propose STIMO, a summarization technique designed to produce on-the-fly video storyboards. STIMO produces still and moving storyboards and allows advanced users customization (e.g., users can select the storyboard length and the maximum time they are willing to wait to get the storyboard). STIMO is based on a fast clustering algorithm that selects the most representative video contents using HSV frame color distribution. Experimental results show that STIMO produces storyboards with good quality and in a time that makes on-the-fly usage possible.