Multi to multi object near-neighbour search
Previous work has introduced the idea of polyadic query similarity search as a multi-query generalisation of single query similarity search, enabling retrieval based on the joint characteristics of multiple query arguments. The initial work on polyadic query search has focused solely on searching over a collection of singular objects. In this work we aim to expand this idea to search over a collection of sets of objects and assess its effectiveness. Through the means of practical examples on image embeddings generated from the mirflickr dataset, we demonstrate that polyadic query search over a collection of sets of objects is feasible and somewhat effective.
Keywords
Search, Near-Neighbour Search, Multi-Query Search, MSED, Image, YOLO
Staff
Kamyar Babazadeh, Ben Claydon, Richard Connor, Alan Dearle, Graham Kirby