In this thesis, we focus on compound query image retrieval. Namely, the query can consist of objects of different natures, a set of objects of the same type or ...
The goal of this work is to retrieve images containing both a target person and a target scene type from a large dataset of images.
Missing: Visual | Show results with:Visual
In this paper we present a new method for object re- trieval starting from multiple query images. The use of mul- tiple queries allows for a more expressive ...
Missing: compound | Show results with:compound
Jan 17, 2020 · We propose a novel multiple query retrieval approach, named weight-learner, which relies on visual feature discrimination to estimate the distances between the ...
Missing: compound | Show results with:compound
People also ask
How to do a compound query?
What is the meaning of compound queries?
The goal of this work is to retrieve images containing both a target person and a target scene type from a large dataset of images.
Mar 29, 2020 · We propose a framework, Image Retrieval using Knowledge Embedding (ImReKE), for embedding knowledge with images and queries, allowing retrieval approaches to ...
Missing: compound | Show results with:compound
In video retrieval systems the query can be either visual or textual, aiming at the efficient retrieval of relevant shots. However, the queries are often ...
Apr 29, 2024 · We propose an interactive image retrieval system capable of refining queries based on user relevance feedback in a multi-turn setting.
Missing: compound | Show results with:compound
Multiple queries for large scale specific object retrieval
www.researchgate.net › publication › 26...
The aim of large scale specific-object image retrieval systems is to instantaneously find images that contain the query object in the image database.
Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of ...
Missing: compound | Show results with:compound