Article: Evaluation and optimisation method for graphic advertising design effectiveness based on binocular vision Journal: International Journal of Business Intelligence and Data Mining (IJBIDM) 2026 Vol.28 No.10 pp.103 - 119 Abstract: This article proposes a method for evaluating and optimising the design effect of flat advertisements based on binocular vision. The core innovation lies in simulating the binocular fusion mechanism of the human eye. By integrating Gabor energy response, saliency map, and disparity matrix, a comprehensive quality evaluation model is constructed, and targeted optimisation is driven based on this model. Generate intermediate views during the evaluation phase, extract global and local binocular visual features, combine monocular visual features, and quantify the design effect; during the optimisation phase, based on the evaluation results, visual consistency and stereoscopic perception are improved through image segmentation, colour space conversion, and edge roughness analysis. The experimental results show that this method maintains a stable accuracy of over 90% in visual attractiveness evaluation, with a minimum of 0.79 and a maximum of 0.87 after optimising the subject saliency, significantly better than the comparative methods. Inderscience Publishers - linking academia, business and industry through research

Title: Evaluation and optimisation method for graphic advertising design effectiveness based on binocular vision

Authors: Jiaqi Li; Fang Wang; Huaxi Chen

Addresses: School of Art and Design, Bengbu University, Bengbu, 233030, China ' School of Art and Design, Bengbu University, Bengbu, 233030, China ' School of Mathematics and Physics, Bengbu University, Bengbu, 233030, China

Abstract: This article proposes a method for evaluating and optimising the design effect of flat advertisements based on binocular vision. The core innovation lies in simulating the binocular fusion mechanism of the human eye. By integrating Gabor energy response, saliency map, and disparity matrix, a comprehensive quality evaluation model is constructed, and targeted optimisation is driven based on this model. Generate intermediate views during the evaluation phase, extract global and local binocular visual features, combine monocular visual features, and quantify the design effect; during the optimisation phase, based on the evaluation results, visual consistency and stereoscopic perception are improved through image segmentation, colour space conversion, and edge roughness analysis. The experimental results show that this method maintains a stable accuracy of over 90% in visual attractiveness evaluation, with a minimum of 0.79 and a maximum of 0.87 after optimising the subject saliency, significantly better than the comparative methods.

Keywords: binocular vision; print advertising design; effectiveness evaluation; optimisation method; visual perception.

DOI: 10.1504/IJBIDM.2026.156182

International Journal of Business Intelligence and Data Mining, 2026 Vol.28 No.10, pp.103 - 119

Received: 23 Mar 2026
Accepted: 02 Jun 2026
Published online: 07 Sep 2026 *

Title: Evaluation and optimisation method for graphic advertising design effectiveness based on binocular vision

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