Results 61 to 70 of about 599,124 (143)

Evaluating Text-to-Image Matching using Binary Image Selection (BISON)

open access: yes, 2019
Providing systems the ability to relate linguistic and visual content is one of the hallmarks of computer vision. Tasks such as text-based image retrieval and image captioning were designed to test this ability but come with evaluation measures that have
Hu, Hexiang   +2 more
core   +1 more source

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query [PDF]

open access: yesarXiv, 2023
We introduce a novel Region-based contrastive pretraining for Medical Image Retrieval (RegionMIR) that demonstrates the feasibility of medical image retrieval with similar anatomical regions. RegionMIR addresses two major challenges for medical image retrieval i) standardization of clinically relevant searching criteria (e.g., anatomical, pathology ...
arxiv  

Neural-based Cross-modal Search and Retrieval of Artwork [PDF]

open access: yesarXiv, 2023
Creating an intelligent search and retrieval system for artwork images, particularly paintings, is crucial for documenting cultural heritage, fostering wider public engagement, and advancing artistic analysis and interpretation. Visual-Semantic Embedding (VSE) networks are deep learning models used for information retrieval, which learn joint ...
arxiv  

Metadata for Content-Based Image Retrieval

open access: yesStudia Universitatis Babes-Bolyai: Series Informatica, 2010
This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image ...
Adrian Sterca, Daniela Miron
doaj  

Semantic Image Retrieval via Active Grounding of Visual Situations

open access: yes, 2017
We describe a novel architecture for semantic image retrieval---in particular, retrieval of instances of visual situations. Visual situations are concepts such as "a boxing match," "walking the dog," "a crowd waiting for a bus," or "a game of ping-pong,"
Conser, Erik   +3 more
core   +1 more source

Image Retrieval by Image

open access: yesIranian Journal of Information Processing & Management, 2014
Sometimes we have only an image that we should get our information by that. There are many search engines and software's that can search images but all of them don’t have the ability to search for similar images, image search by image.
Mahshid Eltemasi
doaj  

Content Based Multimedia Information Retrieval to Support Digital Libraries [PDF]

open access: yesInternational Conference on New Information Technologies, 23-26 July, 2001, Brunei Darussalam, 2012
Content-based multimedia information retrieval is an interesting research area since it allows retrieval based on inherent characteristic of multimedia objects. For example retrieval based on visual characteristics such as colour, shapes or textures of objects in images or retrieval based on spatial relationships among objects in the media (images or ...
arxiv  

FreestyleRet: Retrieving Images from Style-Diversified Queries [PDF]

open access: yesarXiv, 2023
Image Retrieval aims to retrieve corresponding images based on a given query. In application scenarios, users intend to express their retrieval intent through various query styles. However, current retrieval tasks predominantly focus on text-query retrieval exploration, leading to limited retrieval query options and potential ambiguity or bias in user ...
arxiv  

Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]

open access: yesEAI Endorsed Transactions on Context-aware Systems and Applications, 2019
Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet   +4 more
doaj   +1 more source

Attribute-enhanced metric learning for face retrieval

open access: yesEURASIP Journal on Image and Video Processing, 2018
Metric learning is a significant factor for media retrieval. In this paper, we propose an attribute label enhanced metric learning model to assist face image retrieval.
Yuchun Fang, Qiulong Yuan
doaj   +1 more source

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