Feature Extraction from Video Data for Indexing and Retrieval

----------------------------------------------------------------------------***--------------------------------------------------------------------------AbstractIn recent years, the multimedia storage grows and the cost for storing multimedia data is cheaper. So there is huge number of videos available in the video repositories. With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems, as users shift from text based retrieval systems to content based retrieval systems. Selection of extracted features play an important role in content based video retrieval regardless of video attributes being under consideration. These features are intended for selecting, indexing and ranking according to their potential interest to the user. Good features selection also allows the time and space costs of the retrieval process to be reduced. This survey reviews the interesting features that can be extracted from video data for indexing and retrieval along with similarity measurement methods. KeywordsShot Boundary Detection, Key Frame Extraction, Scene Segmentation, Video Data Mining, Video Classification and Annotation, Similarity Measure, Video Retrieval, Relevance Feedback.