[PDF] Top 20 Survey on Content-Based Lecture Video Retrieval By Text

... accurate content access to video data, a video document should be segmented into shots and ...Efficient video retrieval system that focuses on features such as color, texture, shape, ... See full document

... specific video from large video database. The content based lecture video retrieval system is to search lecture video efficiently within lecture ... See full document

... is based on the concept expansion process which increases the con- cepts definitions using large external sources such as ...real-time video retrieval can be applied to this approach because the ... See full document

... do retrieval of the desired image using these metadata ...tools. Content-based image retrieval (CBIR) is became a very attractive area for research in recent years ...a text ... See full document

... this survey paper, a comprehensive overview of the CBIR is ...color based techniques used in CBIR systems are ...texture based methods over the few years is shown in Section ... See full document

... classify video content by analyzing the corresponding subtitles based on the WordNet lexical database and the WordNet domains ...each video, they defines mappings between WordNet domains and ... See full document

... There were many descriptors used in year 2011, that are shape descriptor by Guedri et al [14],edge histogram descriptor by B. Szanto et al [15], shape, color and texture descriptors by Pedronette et al [16]. Yet work ... See full document

... CBIR originates from fields such as pattern recognition and Image Processing."Content-based" means that the search will analyze the actual contents of the image. The term 'content' in this ... See full document

... the retrieval system of images on large scale. Collateral text and the visual features are the basics of system retrieval of ...image based query and results of visual appearance on the ... See full document

... The video recording may be of the discussion with audience in the question answer ...the content and providing the appropriate ...in lecture videos are instead the slides, handwritten text on ... See full document

... be based on the actual content of the video. The term ‟Content‟ here refer to the features such as color, shape, texture of the ...The content based approach focuses on the ... See full document

... audio lecture videos, which is thus well proper for content based lecture video retrieval is studied in ...a lecture video segmentation method based on Scale ... See full document

... of text characters from the background is necessary to fill the gapbetween image documents and the input of standard OCR systems [2] ...in content based video retrieval today is a ... See full document

... or video databases can only be searched either manually (a laborious task) or by text ...personal video collections) there are many downfalls to this ...a text description for every image or ... See full document

... created based on the global metadata obtained from the video hosting website and texts extracted from slide videos by using a standard Optical Character Recognition ... See full document

... in Video Indexing and Retrieval One of the key issues in CBVR is, as pointed out by authors in [15], is bridging the ”semantic gap”, which refers to the gap between low level features (such as texture, ... See full document

... on content-based video retrieval deal with problems like video positioning and key frame ...of video content for shot similarity measurement and shot retrieval ... See full document

... Extracted text is exactly synchronized with the image data when the event occurs; (iv) manual logging may not be feasible for large collection of archived videos; (v) it enables applications such as ... See full document

... the lecture slides are closely related to the lecture content can thus provide important information for the retrieval ...novel video OCR system for gathering video text ... See full document

... COLOR and TEXTURE are among the more expressive of the visual features. Considerable work has been done in designing efficient descriptors for these features for applications such as similarity retrieval. For ... See full document