Matches in SemOpenAlex for { <https://semopenalex.org/work/W2531738441> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2531738441 abstract "Automatically generating summaries of user-generated videos is very useful but challenging. User-generated videos are unedited and usually only contain a long single shot which makes traditional video temporal segmentation methods such as shot boundary detection ineffective in producing meaningful video segments for summarization. To address this issue, we propose a novel temporal segmentation framework based on the clustering of joint visual and semantic affinity graph of the video frames. Based on a pre-trained deep convolutional neural network (CNN), we extract deep visual features of the frames to construct the visual affinity graph. We then construct the semantic affinity graph of the frames based on word embedding of the frames' semantic tags generated from an automatic image tagging algorithm. A dense neighbor method is then used to cluster the joint visual and semantic affinity graph to divide the video into sub-shot level segments and from which a summary of the video can be generated. Experimental results show that our approach outperforms state-of-the-art methods. Furthermore, we show that the method achieves results that are similar to those performed manually." @default.
- W2531738441 created "2016-10-21" @default.
- W2531738441 creator A5009718644 @default.
- W2531738441 creator A5052441498 @default.
- W2531738441 creator A5076092831 @default.
- W2531738441 creator A5083079327 @default.
- W2531738441 date "2016-10-16" @default.
- W2531738441 modified "2023-09-26" @default.
- W2531738441 title "User Video Summarization Based on Joint Visual and Semantic Affinity Graph" @default.
- W2531738441 cites W2003630662 @default.
- W2531738441 cites W2030346542 @default.
- W2531738441 cites W2032342062 @default.
- W2531738441 cites W2037768726 @default.
- W2531738441 cites W2068994826 @default.
- W2531738441 cites W2095863970 @default.
- W2531738441 cites W2099736636 @default.
- W2531738441 cites W2106910805 @default.
- W2531738441 cites W2120645068 @default.
- W2531738441 cites W2139009685 @default.
- W2531738441 cites W2158261396 @default.
- W2531738441 cites W2529272619 @default.
- W2531738441 cites W2998704965 @default.
- W2531738441 cites W329267344 @default.
- W2531738441 doi "https://doi.org/10.1145/2983563.2983568" @default.
- W2531738441 hasPublicationYear "2016" @default.
- W2531738441 type Work @default.
- W2531738441 sameAs 2531738441 @default.
- W2531738441 citedByCount "8" @default.
- W2531738441 countsByYear W25317384412017 @default.
- W2531738441 countsByYear W25317384412018 @default.
- W2531738441 countsByYear W25317384412019 @default.
- W2531738441 countsByYear W25317384412022 @default.
- W2531738441 countsByYear W25317384412023 @default.
- W2531738441 crossrefType "proceedings-article" @default.
- W2531738441 hasAuthorship W2531738441A5009718644 @default.
- W2531738441 hasAuthorship W2531738441A5052441498 @default.
- W2531738441 hasAuthorship W2531738441A5076092831 @default.
- W2531738441 hasAuthorship W2531738441A5083079327 @default.
- W2531738441 hasConcept C104047586 @default.
- W2531738441 hasConcept C109659709 @default.
- W2531738441 hasConcept C132525143 @default.
- W2531738441 hasConcept C153180895 @default.
- W2531738441 hasConcept C154945302 @default.
- W2531738441 hasConcept C170858558 @default.
- W2531738441 hasConcept C17212007 @default.
- W2531738441 hasConcept C178790620 @default.
- W2531738441 hasConcept C185592680 @default.
- W2531738441 hasConcept C199360897 @default.
- W2531738441 hasConcept C2778344882 @default.
- W2531738441 hasConcept C2780801425 @default.
- W2531738441 hasConcept C31972630 @default.
- W2531738441 hasConcept C41008148 @default.
- W2531738441 hasConcept C73555534 @default.
- W2531738441 hasConcept C80444323 @default.
- W2531738441 hasConcept C81363708 @default.
- W2531738441 hasConcept C89600930 @default.
- W2531738441 hasConceptScore W2531738441C104047586 @default.
- W2531738441 hasConceptScore W2531738441C109659709 @default.
- W2531738441 hasConceptScore W2531738441C132525143 @default.
- W2531738441 hasConceptScore W2531738441C153180895 @default.
- W2531738441 hasConceptScore W2531738441C154945302 @default.
- W2531738441 hasConceptScore W2531738441C170858558 @default.
- W2531738441 hasConceptScore W2531738441C17212007 @default.
- W2531738441 hasConceptScore W2531738441C178790620 @default.
- W2531738441 hasConceptScore W2531738441C185592680 @default.
- W2531738441 hasConceptScore W2531738441C199360897 @default.
- W2531738441 hasConceptScore W2531738441C2778344882 @default.
- W2531738441 hasConceptScore W2531738441C2780801425 @default.
- W2531738441 hasConceptScore W2531738441C31972630 @default.
- W2531738441 hasConceptScore W2531738441C41008148 @default.
- W2531738441 hasConceptScore W2531738441C73555534 @default.
- W2531738441 hasConceptScore W2531738441C80444323 @default.
- W2531738441 hasConceptScore W2531738441C81363708 @default.
- W2531738441 hasConceptScore W2531738441C89600930 @default.
- W2531738441 hasLocation W25317384411 @default.
- W2531738441 hasOpenAccess W2531738441 @default.
- W2531738441 hasPrimaryLocation W25317384411 @default.
- W2531738441 hasRelatedWork W1669643531 @default.
- W2531738441 hasRelatedWork W2005437358 @default.
- W2531738441 hasRelatedWork W2008656436 @default.
- W2531738441 hasRelatedWork W2039154422 @default.
- W2531738441 hasRelatedWork W2056180080 @default.
- W2531738441 hasRelatedWork W2122581818 @default.
- W2531738441 hasRelatedWork W2387675639 @default.
- W2531738441 hasRelatedWork W2517104666 @default.
- W2531738441 hasRelatedWork W2562939533 @default.
- W2531738441 hasRelatedWork W2182382398 @default.
- W2531738441 isParatext "false" @default.
- W2531738441 isRetracted "false" @default.
- W2531738441 magId "2531738441" @default.
- W2531738441 workType "article" @default.