[PDF] Top 20 Semantic Based Video Retrieval Survey

... is based on the concept expansion process which increases the con- cepts definitions using large external sources such as ...13.488 semantic concepts, the MAP of the proposed system is slightly better than ... See full document

... key-word based similarity ...combining semantic structure analysis and raw ...Assembly retrieval is extended with parts based matching and greedy matching algorithm to solve bipartite graph ... See full document

... deep survey and comparative analysis on different available approaches for the content based video lectures ...content based retrieval system to speed up the ...developing video ... See full document

... high-level (semantic) features[2]. The detailed similarity ranking is based on many-to many mapping by EMD. The major contributions of this approach are similarity ranking. We model two clips as a weighted ... See full document

... and semantic data to count the semantic similarity of two ...phrases. Semantic data is given fromlexical ...the semantic similarity between phrases or short ...is based on the sense of ... See full document

... Texture, like shade, is a powerful low-stage descriptor for image search and retrieval programs .it is a fundamental feature which gives big information about the spatial association of coloration or intensities ... See full document

... information retrieval from these large ...and video signals without indexes. So, conventional text-based information retrieval methods cannot be directly employed to multimedia ...text ... See full document

... forEffective retrieval of video.Initially a video ispartitioned into framesand then we use fuzzylogic method in order to retrieve a ...video.Content based Video Retrieval (CBVR) ... See full document

... shot retrieval system with the same video database as Section ...this video database, which are segmented from about 10 hours’ real-world ...method based on motion intensity and dominant ... See full document

... for semantic video event annotation, which exploits global feature, local feature and motion ...automatic video annotation technique which employ ontology to facilitate video retrieval ... See full document

... of 1.00 e or 1.50 e for a completed survey. 103 par- ticipants took part in the study on travel destination search. In the multimedia domains, in total 154 sub- jects evaluated the SKOSRec engine. For each part of ... See full document

... Alexandre Passant portrays the hypothetical foundation and the execution of dbrec, a music suggestion framework based on top of Dbpedia, offering suggestions for more than 39,000 groups and solo specialists. He ... See full document

... a video document is its ability to convey a rich semantic presentation through the synchronized audio, visual and text presentations over a period of ...sound retrieval as these types of media have ... See full document

... 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, motion, Visual text embedded in ... See full document

... The semantic similarity measures not only consider the Lesk semantic relatedness measure ...general semantic relatedness scores between pairs of words or phrases, which are better suited for query ... See full document

... For video retrieval based on content different approaches are used for each video analysis ...CSS based shape representation [2], trajectory based motion representation [2], SIFT ... See full document

... Information Retrieval [IR] is a method used for searching documents, searching information contained by documents, and for searching metadata about documents, and also for relational databases searching and the ... See full document

... to semantic navigation based on multiple ...with semantic descriptions during some their tasks, as modeling, presentation and selection of knowledge classified in documents and according to their ... See full document

... duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more Frame-level methods require significantly ... See full document

... called semantic neighborhood learning model on noisy data, that re-established the missing labels, and semantic adjusted neighborhood is ...data based learning and neighborhood nonnegative deficient ... See full document