Automatic coloration of pattern based on color parsing of Sung porcelain

Jing, Jia; Xu, Pinghua; Sun, Xiaowan; Cao, Jingwen; Lin, Ruibing

doi:10.1177/00405175221113088

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Figure 4 shows the main colors percentage, brightness distribution normalHnormalv and normalDnormalv. Main colors are computed using an adaptive clustering algorithm (Jia et al. , 2022).…”

Section: Resultsmentioning

confidence: 99%

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Visual assessment of fashion merchandising based on scene saliency

He,

Xu,

Jia

et al. 2024

IJCST

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PurposeFashion merchandising hold a paramount position within the realm of retail marketing. Currently, the purpose of this article is that the assessment of display effectiveness predominantly relies on the subjective judgment of merchandisers due to the absence of an effective evaluation method. Although eye-tracking devices have found extensive used in tracking the gaze trajectory of subject, they exhibit limitations in terms of stability when applied to the evaluation of various scenes. This underscores the need for a dependable, user-friendly and objective assessment method.Design/methodology/approachTo develop a cost-effective and convenient evaluation method, the authors introduced an image processing framework for the assessment of variations in the impact of store furnishings. An optimized visual saliency methodology that leverages a multiscale pyramid model, incorporating color, brightness and orientation features, to construct a visual saliency heatmap. Additionally, the authors have established two pivotal evaluation indices aimed at quantifying attention coverage and dispersion. Specifically, bottom features are extract from 9 distinct scale images which are down sampled from merchandising photographs. Subsequently, these extracted features are amalgamated to form a heatmap, serving as the focal point of the evaluation process. The authors have proposed evaluation indices dedicated to measuring visual focus and dispersion, facilitating a precise quantification of attention distribution within the observed scenes.FindingsIn comparison to conventional saliency algorithm, the optimization method yields more intuitive feedback regarding scene contrast. Moreover, the optimized approach results in a more concentrated focus within the central region of the visual field, a pattern in alignment with physiological research findings. The results affirm that the two defined indicators prove highly effective in discerning variations in visual attention across diverse brand store displays.Originality/valueThe study introduces an intelligent and cost-effective objective evaluate method founded upon visual saliency. This pioneering approach not only effectively discerns the efficacy of merchandising efforts but also holds the potential for extension to the assessment of fashion advertisements, home design and website aesthetics.

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“…Figure 4 shows the main colors percentage, brightness distribution normalHnormalv and normalDnormalv. Main colors are computed using an adaptive clustering algorithm (Jia et al. , 2022).…”

Section: Resultsmentioning

confidence: 99%

“…Figure 4 shows the main colors percentage, brightness distribution H v and D v . Main colors are computed using an adaptive clustering algorithm (Jia et al, 2022). Figure 4(d) shows a visual dispersion map, which was visualized connects the visual hotspots in each region with visual center.…”

Section: Visual Attention Analysis In Merchandisingmentioning

confidence: 99%

Visual assessment of fashion merchandising based on scene saliency

He,

Xu,

Jia

et al. 2024

IJCST

Self Cite

View full text Add to dashboard Cite

show abstract

“…The P-ASK framework, using K-means, extracts primary colors from artifacts [15]. K-means clustering is used for porcelain primary color extraction in fashion design [16]. Kmeans' evolution enhances Chinese traditional culture research and application.…”

Section: Work Related To the Pattern Color Extraction Algorithmmentioning

confidence: 99%

Research on the Design of Zhuang Brocade Patterns Based on Automatic Pattern Generation

Ni,

Huang,

et al. 2024

Applied Sciences

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To promote the inheritance of Zhuang brocade culture and the rapid extraction of features and automatic generation of patterns, this paper constructs a feature dataset of Zhuang brocade patterns and proposes an automatic generation technology using relative coordinates and regional content replacement. Firstly, by sorting through a large number of cases, a feature dataset of Zhuang brocade patterns is constructed. For the significant features of Zhuang brocade patterns, intelligent extraction algorithms and processes are used to effectively extract the color matching, patterns, and organizational forms of the patterns into the feature dataset. Secondly, to generate Zhuang brocade patterns quickly, an automatic generation technology based on genotype encoding and regional replacement algorithms is proposed, which encodes these pattern elements into a format that can be interpreted by computer algorithms. Finally, through similarity evaluation, the method’s feasibility for rapid extraction and generation of Zhuang brocade patterns is effectively verified. This method is significant for the inheritance of Zhuang brocade patterns and the development of the intangible cultural heritage industry.

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Automatic exploration and transfer design of associative rules in She Ethnic Clothing Coloration

Cao,

Xu,

et al. 2024

Multimed Tools Appl

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Automatic coloration of pattern based on color parsing of Sung porcelain

Cited by 3 publications

References 18 publications

Visual assessment of fashion merchandising based on scene saliency

Visual assessment of fashion merchandising based on scene saliency

Research on the Design of Zhuang Brocade Patterns Based on Automatic Pattern Generation

Automatic exploration and transfer design of associative rules in She Ethnic Clothing Coloration

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