Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023169975> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2023169975 abstract "Current research of aesthetic assessment for images assumes one aesthetic score or one aesthetic label for an image, ignoring the relations of multiple aesthetic-related attributes. However, most images can be described by multiple aesthetic attributes simultaneously. Therefore, in this paper, we propose multiple aesthetic attribute prediction and classification by modeling relations among aesthetic attributes through Bayesian Networks (BN). In order to realize continuous aesthetic attribute prediction, each aesthetic attribute is represented by a three-node BN, including the discretized aesthetic attribute label, the predicted aesthetic attribute score, and the measurement of the aesthetic attribute score. In addition, the relations among multiple aesthetic attributes are modeled by another discrete BN, whose structure and conditional probabilities are learned from the training data. The attribute measurements are obtained by an existing image-driven regression method. With the learned BN, we infer the true discrete label and continuous score for each attribute by combining the relations among attributes with the previously obtained measurements. Experiments on the Memorability dataset show the superiority of our proposed approach to current image-driven methods for both multiple continuous aesthetic attribute score prediction and multiple discrete aesthetic attribute label classification, indicating the effectiveness of the captured relations for aesthetic quality assessment." @default.
- W2023169975 created "2016-06-24" @default.
- W2023169975 creator A5068590943 @default.
- W2023169975 creator A5076346273 @default.
- W2023169975 creator A5077046519 @default.
- W2023169975 date "2015-06-22" @default.
- W2023169975 modified "2023-10-18" @default.
- W2023169975 title "Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes" @default.
- W2023169975 cites W1511924373 @default.
- W2023169975 cites W1566135517 @default.
- W2023169975 cites W1997095443 @default.
- W2023169975 cites W2009627211 @default.
- W2023169975 cites W2009678853 @default.
- W2023169975 cites W2037910277 @default.
- W2023169975 cites W2040141351 @default.
- W2023169975 cites W2080754665 @default.
- W2023169975 cites W2104915826 @default.
- W2023169975 cites W2159334585 @default.
- W2023169975 cites W2162915993 @default.
- W2023169975 cites W2168356304 @default.
- W2023169975 cites W69312713 @default.
- W2023169975 doi "https://doi.org/10.1145/2671188.2749363" @default.
- W2023169975 hasPublicationYear "2015" @default.
- W2023169975 type Work @default.
- W2023169975 sameAs 2023169975 @default.
- W2023169975 citedByCount "5" @default.
- W2023169975 countsByYear W20231699752016 @default.
- W2023169975 countsByYear W20231699752017 @default.
- W2023169975 countsByYear W20231699752019 @default.
- W2023169975 countsByYear W20231699752021 @default.
- W2023169975 countsByYear W20231699752022 @default.
- W2023169975 crossrefType "proceedings-article" @default.
- W2023169975 hasAuthorship W2023169975A5068590943 @default.
- W2023169975 hasAuthorship W2023169975A5076346273 @default.
- W2023169975 hasAuthorship W2023169975A5077046519 @default.
- W2023169975 hasConcept C111472728 @default.
- W2023169975 hasConcept C115961682 @default.
- W2023169975 hasConcept C119857082 @default.
- W2023169975 hasConcept C134306372 @default.
- W2023169975 hasConcept C138885662 @default.
- W2023169975 hasConcept C153180895 @default.
- W2023169975 hasConcept C154945302 @default.
- W2023169975 hasConcept C2779530757 @default.
- W2023169975 hasConcept C33923547 @default.
- W2023169975 hasConcept C41008148 @default.
- W2023169975 hasConcept C73000952 @default.
- W2023169975 hasConceptScore W2023169975C111472728 @default.
- W2023169975 hasConceptScore W2023169975C115961682 @default.
- W2023169975 hasConceptScore W2023169975C119857082 @default.
- W2023169975 hasConceptScore W2023169975C134306372 @default.
- W2023169975 hasConceptScore W2023169975C138885662 @default.
- W2023169975 hasConceptScore W2023169975C153180895 @default.
- W2023169975 hasConceptScore W2023169975C154945302 @default.
- W2023169975 hasConceptScore W2023169975C2779530757 @default.
- W2023169975 hasConceptScore W2023169975C33923547 @default.
- W2023169975 hasConceptScore W2023169975C41008148 @default.
- W2023169975 hasConceptScore W2023169975C73000952 @default.
- W2023169975 hasLocation W20231699751 @default.
- W2023169975 hasOpenAccess W2023169975 @default.
- W2023169975 hasPrimaryLocation W20231699751 @default.
- W2023169975 hasRelatedWork W1978358527 @default.
- W2023169975 hasRelatedWork W2040186499 @default.
- W2023169975 hasRelatedWork W2066091055 @default.
- W2023169975 hasRelatedWork W2193902272 @default.
- W2023169975 hasRelatedWork W2326361186 @default.
- W2023169975 hasRelatedWork W2961085424 @default.
- W2023169975 hasRelatedWork W2973336026 @default.
- W2023169975 hasRelatedWork W4286629047 @default.
- W2023169975 hasRelatedWork W4306674287 @default.
- W2023169975 hasRelatedWork W4224009465 @default.
- W2023169975 isParatext "false" @default.
- W2023169975 isRetracted "false" @default.
- W2023169975 magId "2023169975" @default.
- W2023169975 workType "article" @default.