Movie Scene Classification Using Hidden Markov Model
نویسندگان
چکیده
Movie is a kind of complex video with rich content. The analysis of movie is more complicated than other types of videos like surveillance, sport games, and documentaries. In this paper, a statistical approach using hidden Markov model to classify movie scenes is proposed. Two important kinds of movie scenes, dialogue and fighting scenes, are classified. Color and motion features are extracted for each frame. Features of all frames within a scene are regarded as a time series of observations that are statistically modeled by Gaussian mixture ergodic hidden Markov model. Two movies with 41 dialogue scenes and 15 fighting scenes are experimented. The highest accuracy rate can achieve 80%.
منابع مشابه
A Novel Role-Based Movie Scene Segmentation Method
Semantic scene segmentation is a crucial step in movie video analysis and extensive research efforts have been devoted to this area. However, previous methods are heavily relying on video content itself, which are lack of objective evaluation criterion and necessary semantic link due to the semantic gap. In this paper, we propose a novel role-based approach for movie scene segmentation using sc...
متن کاملJoint Video Scene Segmentation and Classification based on Hidden Markov Model
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cation scheme using a Hidden MarkovModel (HMM)based classi er. By utilizing the temporal behaviors of di erent scene classes, HMM classi er can e ectively classify video segments into one of the prede ned scene classes. In this pa...
متن کاملRobust Scene Recognition Using Scene Context Information for Video Contents
We propose a robust scene recognition framework using scene context information for multimedia contents. In multimedia contents, some scene sequences are more likely to happen compared with other scene sequences. We employ a statistical approach to deal with this scene context information. We employ a hidden Markov model (HMM) to model each scene and an n-gram language model to represent the sc...
متن کاملIntroducing Busy Customer Portfolio Using Hidden Markov Model
Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...
متن کاملAutomatic multi-modal dialogue scene indexing
An automatic algorithm for indexing dialogue scenes in multimedia content is proposed. The content is segmented into dialogue scenes using the state transitions of a hidden Markov model (HMM). Each shot is classified using both audio and visual information to determine the state/scene transitions for this model. Face detection and silence/speech/music classification are the basic tools which ar...
متن کامل