FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2026202018> ?p ?o ?g. }

• W2026202018 endingPage "356" @default.
• W2026202018 startingPage "325" @default.
• W2026202018 abstract "In this paper, a multiscale content-based video decomposition scheme is presented for efficient non-linear (nonsequential) organization of the video visual content. In particular, each video file is analyzed in a multiscale structure of different resolution levels, creating a hierarchy from the lowest (coarse) to the highest (fine) resolution. The scheme resembles the progressive transmission of still images, where instead of transmitting the image sequentially at a full resolution, by scanning it line by line, a lower image resolution is first delivered and then, the image quality gradually enhances so that the user is able at any time to see a preview of the image content. The proposed video decomposition is represented as a graph structure, each level of which corresponds to a particular content resolution, while the graph-nodes the respective regions that the content is analyzed at this level. Transitions among nodes of the same level are also permitted. The number of nodes at a given level expresses the degree of detail that the content at this level is analyzed. This number is estimated by minimizing the average transmitted information, required for localizing a video segment of interest and also takes into account the content complexity.Quality criteria are introduced to evaluate the efficiency of the proposed scheme. The efficiency of the organization is maximized if multiscale content decomposition is performed using content representatives and constructing content classes. Content representatives are estimated in our approach as the ones of the maximum dissimilarity, expressed by a distance metric. The optimization is conducted by incorporating a stochastic algorithm of logarithmically reduced searching area (stochastic logarithmic). Experimental results on real-life video sequences show that the proposed multiscale video organization enables users to detect content of interest much faster, compared to the conventional sequential video scanning or other video decomposition/summarization methods, resulting in a better organization efficiency as measured by the quality criteria." @default.
• W2026202018 created "2016-06-24" @default.
• W2026202018 creator A5079420247 @default.
• W2026202018 date "2005-02-01" @default.
• W2026202018 modified "2023-09-27" @default.
• W2026202018 title "Non-sequential multiscale content-based video decomposition" @default.
• W2026202018 cites W1492380776 @default.
• W2026202018 cites W1512345292 @default.
• W2026202018 cites W1634005169 @default.
• W2026202018 cites W1839477735 @default.
• W2026202018 cites W1931537541 @default.
• W2026202018 cites W1956559956 @default.
• W2026202018 cites W1977974642 @default.
• W2026202018 cites W1980869150 @default.
• W2026202018 cites W2041138652 @default.
• W2026202018 cites W2045662680 @default.
• W2026202018 cites W2051224630 @default.
• W2026202018 cites W2064347269 @default.
• W2026202018 cites W2068141708 @default.
• W2026202018 cites W2076941528 @default.
• W2026202018 cites W2102206114 @default.
• W2026202018 cites W2103388904 @default.
• W2026202018 cites W2104113200 @default.
• W2026202018 cites W2106639318 @default.
• W2026202018 cites W2108496666 @default.
• W2026202018 cites W2112532341 @default.
• W2026202018 cites W2113172355 @default.
• W2026202018 cites W2118783153 @default.
• W2026202018 cites W2128568752 @default.
• W2026202018 cites W2134190498 @default.
• W2026202018 cites W2134224682 @default.
• W2026202018 cites W2136309006 @default.
• W2026202018 cites W2137542411 @default.
• W2026202018 cites W2145748431 @default.
• W2026202018 cites W2148365708 @default.
• W2026202018 cites W2149482750 @default.
• W2026202018 cites W2151385494 @default.
• W2026202018 cites W2156130274 @default.
• W2026202018 cites W2162232298 @default.
• W2026202018 cites W2162314255 @default.
• W2026202018 cites W2163461766 @default.
• W2026202018 cites W2168397545 @default.
• W2026202018 cites W2799061466 @default.
• W2026202018 cites W2914885528 @default.
• W2026202018 cites W98769269 @default.
• W2026202018 doi "https://doi.org/10.1016/j.sigpro.2004.10.004" @default.
• W2026202018 hasPublicationYear "2005" @default.
• W2026202018 type Work @default.
• W2026202018 sameAs 2026202018 @default.
• W2026202018 citedByCount "2" @default.
• W2026202018 countsByYear W20262020182017 @default.
• W2026202018 countsByYear W20262020182020 @default.
• W2026202018 crossrefType "journal-article" @default.
• W2026202018 hasAuthorship W2026202018A5079420247 @default.
• W2026202018 hasConcept C124681953 @default.
• W2026202018 hasConcept C134306372 @default.
• W2026202018 hasConcept C154945302 @default.
• W2026202018 hasConcept C178790620 @default.
• W2026202018 hasConcept C185592680 @default.
• W2026202018 hasConcept C2778152352 @default.
• W2026202018 hasConcept C31972630 @default.
• W2026202018 hasConcept C33923547 @default.
• W2026202018 hasConcept C41008148 @default.
• W2026202018 hasConceptScore W2026202018C124681953 @default.
• W2026202018 hasConceptScore W2026202018C134306372 @default.
• W2026202018 hasConceptScore W2026202018C154945302 @default.
• W2026202018 hasConceptScore W2026202018C178790620 @default.
• W2026202018 hasConceptScore W2026202018C185592680 @default.
• W2026202018 hasConceptScore W2026202018C2778152352 @default.
• W2026202018 hasConceptScore W2026202018C31972630 @default.
• W2026202018 hasConceptScore W2026202018C33923547 @default.
• W2026202018 hasConceptScore W2026202018C41008148 @default.
• W2026202018 hasIssue "2" @default.
• W2026202018 hasLocation W20262020181 @default.
• W2026202018 hasOpenAccess W2026202018 @default.
• W2026202018 hasPrimaryLocation W20262020181 @default.
• W2026202018 hasRelatedWork W1891287906 @default.
• W2026202018 hasRelatedWork W1969923398 @default.
• W2026202018 hasRelatedWork W2036807459 @default.
• W2026202018 hasRelatedWork W2058170566 @default.
• W2026202018 hasRelatedWork W2170022336 @default.
• W2026202018 hasRelatedWork W2229312674 @default.
• W2026202018 hasRelatedWork W258625772 @default.
• W2026202018 hasRelatedWork W2755342338 @default.
• W2026202018 hasRelatedWork W2772917594 @default.
• W2026202018 hasRelatedWork W3116076068 @default.
• W2026202018 hasVolume "85" @default.
• W2026202018 isParatext "false" @default.
• W2026202018 isRetracted "false" @default.
• W2026202018 magId "2026202018" @default.
• W2026202018 workType "article" @default.