In the industrial e-commerce landscape, creative designs such as banners and
posters are ubiquitous. Extracting structured semantic information from
creative e-commerce design materials (manuscripts crafted by designers) to
obtain design semantics represents a core challenge in the realm of intelligent
design. In this paper, we propose a comprehensive automated framework for
intelligently parsing creative materials. This framework comprises material
recognition, preprocess, smartname, and label layers. The material recognition
layer consolidates various detection and recognition interfaces, covering
business aspects including detection of auxiliary areas within creative
materials and layer-level detection, alongside label identification.
Algorithmically, it encompasses a variety of coarse-to-fine methods such as
Cascade RCNN, GFL, and other models. The preprocess layer involves filtering
creative layers and grading creative materials. The smartname layer achieves
intelligent naming for creative materials, while the label layer covers
multi-level tagging for creative materials, enabling tagging at different
hierarchical levels. Intelligent parsing constitutes a complete parsing
framework that significantly aids downstream processes such as intelligent
creation, creative optimization, and material library construction. Within the
practical business applications at Suning, it markedly enhances the exposure,
circulation, and click-through rates of creative materials, expediting the
closed-loop production of creative materials and yielding substantial benefits.

在工业电子商务领域中，创意设计如横幅和海报无处不在。本文提出了一个综合自动化框架，通过从创意电子商务设计材料中提取结构化语义信息来获取设计语义，该框架包括材料识别、预处理、智能命名和标签层。通过智能解析，框架显著提高了创意材料的曝光量、流通量和点击率，加快了创意材料的闭环生产，带来了可观的效益。