The proposed WSDHQ approach can be extended to handle more complex and diverse tag semantics by incorporating techniques for dealing with hierarchical or multi-modal tags. For hierarchical tags, the system can utilize hierarchical clustering algorithms to group tags based on their semantic relationships. This can help in capturing the hierarchical structure of tags and improving the semantic understanding during quantization. Additionally, for multi-modal tags, the model can be enhanced to process and extract information from different modalities such as text, images, or audio. By integrating multi-modal fusion techniques, the system can effectively combine information from diverse sources to enrich the tag semantics and improve the quantization process.