A Multi-expert Approach for Shot Classification in News Videos
نویسندگان
چکیده
In this paper we propose a multi-expert approach for anchor shot detection in news videos. The proposed Multi-Expert System (MES) combines three algorithms selected among those presented in the literature that are model-free and do not require a specific training phase. In order to assess the performance of the proposed MES, we built up a large database, significantly wider than those ones typically used in the field. Reported experimental results show not only that proposed system performances are better than the ones of original experts but also the smart use made by the MES of strengths and weaknesses of each expert.
منابع مشابه
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation
In this paper we propose an innovative combination strategy for a system using video and audio stream of a news video to automatically segment it into stories. In our approach, the segmentation is performed in two steps: first, shots are classified by combining three different anchor shot detection algorithms using video information only. Then, the shot classification is improved by using a nov...
متن کاملAutomatic Cut Detection in MPEG Movies: A Multi-expert Approach
In this paper we propose a method to detect abrupt shot changes in MPEG coded videos that operates directly on the compressed domain by using a Multi-Expert approach. Generally, costly analysis for addressing the weakness of a single expert for abrupt shot change detection and the consequent modifications would produce only slight performance improvements. Hence, after a careful analysis of the...
متن کاملAnchor Person Detection using Haar-Like Feature Extraction from News Videos
The human face and facial feature extraction play a key role in person identification in the areas of video surveillance and access control on security reason. In this research work news video is taken for anchor person detection. Detecting anchor person from news videos give the time distribution to news readers and provide editorial support to journalist to find videos related to the particul...
متن کاملA Comparison of Unsupervised Shot Classification Algorithms for News Video Segmentation
Automatic classification of shots extracted by news video plays an important role in the context of news video segmentation. In spite of the efforts of the researchers involved in this field, a definite solution for the shot classification problem does not yet exist. Moreover, the authors of each novel algorithm usually provide results supporting the claim that their method performs well on a s...
متن کاملSupervised classification for video shot segmentation
In this paper, we explore supervised classification methods for video shot segmentation. We transform the temporal segmentation problem into a multi-class categorization issue. This approach provides a uniform framework for using different kinds of features extracted from the video and for detecting various types of shot boundaries. The approach utilizes manual labeled training data and a simpl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004