FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313203640> ?p ?o ?g. }

• W4313203640 endingPage "11" @default.
• W4313203640 startingPage "1" @default.
• W4313203640 abstract "Evaluating the quality of panoramic images has gradually become a hot research topic with the development of virtual reality (VR) technology. Therefore, a novel method is proposed to assess the quality of omnidirectional images without any reference information. Inspired by the characteristics of the human visual system (HVS) and visual attention mechanism, the proposed model is composed of the structure feature, statistical feature, and saliency feature to measure the panoramic image quality, in which structure information is expressed by combining the local Taylor series with the local binary pattern (LBP) operator, gradient-based statistical information of panoramic images are summarized comprehensively from three levels: the gradient measure, the relative gradient magnitude, and the relative gradient orientation, and the saliency detection by combining simple priors (SDSP)-based saliency information is extracted in this article to enrich perception feature of our model and improve the visibility of the saliency region in the omnidirectional image. Finally, according to the subjective scores provided and the above features, we use support vector regression (SVR) to predict the objective scores. The experiments indicate that our model has more substantial competitiveness and stability than other state-of-the-art methods on two reliable databases." @default.
• W4313203640 created "2023-01-06" @default.
• W4313203640 creator A5021082033 @default.
• W4313203640 creator A5021839629 @default.
• W4313203640 creator A5026737242 @default.
• W4313203640 creator A5028726238 @default.
• W4313203640 creator A5072284152 @default.
• W4313203640 date "2023-01-01" @default.
• W4313203640 modified "2023-10-01" @default.
• W4313203640 title "HVS-Based Perception-Driven No-Reference Omnidirectional Image Quality Assessment" @default.
• W4313203640 cites W1510835000 @default.
• W4313203640 cites W1815498672 @default.
• W4313203640 cites W1964859077 @default.
• W4313203640 cites W1968613884 @default.
• W4313203640 cites W1982471090 @default.
• W4313203640 cites W1984757472 @default.
• W4313203640 cites W1987687309 @default.
• W4313203640 cites W1993721485 @default.
• W4313203640 cites W2015196405 @default.
• W4313203640 cites W2039051707 @default.
• W4313203640 cites W2046119925 @default.
• W4313203640 cites W2048132727 @default.
• W4313203640 cites W2063855213 @default.
• W4313203640 cites W2089500640 @default.
• W4313203640 cites W2094909354 @default.
• W4313203640 cites W2102166818 @default.
• W4313203640 cites W2133665775 @default.
• W4313203640 cites W2136765793 @default.
• W4313203640 cites W2141983208 @default.
• W4313203640 cites W2147940013 @default.
• W4313203640 cites W2161170951 @default.
• W4313203640 cites W2161907179 @default.
• W4313203640 cites W2163352848 @default.
• W4313203640 cites W2172058006 @default.
• W4313203640 cites W2281922771 @default.
• W4313203640 cites W2561730630 @default.
• W4313203640 cites W2733888878 @default.
• W4313203640 cites W2749468216 @default.
• W4313203640 cites W2768886957 @default.
• W4313203640 cites W2790288543 @default.
• W4313203640 cites W2796010929 @default.
• W4313203640 cites W2799653921 @default.
• W4313203640 cites W2896663560 @default.
• W4313203640 cites W2903301153 @default.
• W4313203640 cites W2905544033 @default.
• W4313203640 cites W2919786679 @default.
• W4313203640 cites W2943304988 @default.
• W4313203640 cites W2943378185 @default.
• W4313203640 cites W3001616956 @default.
• W4313203640 cites W3005116486 @default.
• W4313203640 cites W3040544497 @default.
• W4313203640 cites W3048688174 @default.
• W4313203640 cites W3111848167 @default.
• W4313203640 cites W3118542935 @default.
• W4313203640 cites W3122686848 @default.
• W4313203640 cites W3162407014 @default.
• W4313203640 cites W3172080105 @default.
• W4313203640 cites W4213265875 @default.
• W4313203640 cites W4214485634 @default.
• W4313203640 cites W4225786139 @default.
• W4313203640 cites W4295308228 @default.
• W4313203640 cites W4304098335 @default.
• W4313203640 doi "https://doi.org/10.1109/tim.2022.3232792" @default.
• W4313203640 hasPublicationYear "2023" @default.
• W4313203640 type Work @default.
• W4313203640 citedByCount "2" @default.
• W4313203640 countsByYear W43132036402023 @default.
• W4313203640 crossrefType "journal-article" @default.
• W4313203640 hasAuthorship W4313203640A5021082033 @default.
• W4313203640 hasAuthorship W4313203640A5021839629 @default.
• W4313203640 hasAuthorship W4313203640A5026737242 @default.
• W4313203640 hasAuthorship W4313203640A5028726238 @default.
• W4313203640 hasAuthorship W4313203640A5072284152 @default.
• W4313203640 hasConcept C115961682 @default.
• W4313203640 hasConcept C120665830 @default.
• W4313203640 hasConcept C121332964 @default.
• W4313203640 hasConcept C123403432 @default.
• W4313203640 hasConcept C138885662 @default.
• W4313203640 hasConcept C153180895 @default.
• W4313203640 hasConcept C154945302 @default.
• W4313203640 hasConcept C160086991 @default.
• W4313203640 hasConcept C16345878 @default.
• W4313203640 hasConcept C169760540 @default.
• W4313203640 hasConcept C178253425 @default.
• W4313203640 hasConcept C2524010 @default.
• W4313203640 hasConcept C26760741 @default.
• W4313203640 hasConcept C2776401178 @default.
• W4313203640 hasConcept C31972630 @default.
• W4313203640 hasConcept C33923547 @default.
• W4313203640 hasConcept C36464697 @default.
• W4313203640 hasConcept C41008148 @default.
• W4313203640 hasConcept C41895202 @default.
• W4313203640 hasConcept C52622490 @default.
• W4313203640 hasConcept C53533937 @default.
• W4313203640 hasConcept C55020928 @default.
• W4313203640 hasConcept C86803240 @default.
• W4313203640 hasConcept C87335442 @default.
• W4313203640 hasConceptScore W4313203640C115961682 @default.

• next