Spatial-Aware Image Retrieval: A Hyperdimensional Computing Approach for Efficient Similarity Hashing

arXiv:2404.11025v1 Announce Type: new
Abstract: In the face of burgeoning image data, efficiently retrieving similar images poses a formidable challenge. Past research has focused on refining hash functions to distill images into compact indicators of resemblance. Initial attempts used shallow models, evolving to attention mechanism-based architectures from Convolutional Neural Networks (CNNs) to advanced models. Recognizing limitations in gradient-based models for spatial information embedding, we propose an innovative image hashing method, NeuroHash leveraging Hyperdimensional Computing (HDC). HDC symbolically encodes spatial information …

abstract architectures arxiv attention challenge compact computing cs.cv data face functions hash hashing image image data images research retrieval spatial type