Essays about: "Object based image retrieval"

Found 5 essays containing the words Object based image retrieval.

  1. 1. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Henning; [2022]
    Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

    Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE

  3. 2. Object Based Image Retrieval Using Feature Maps of a YOLOv5 Network

    University essay from KTH/Matematisk statistik

    Author : Hugo Essinger; Alexander Kivelä; [2022]
    Keywords : Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN; Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN;

    Abstract : As Machine Learning (ML) methods have gained traction in recent years, someproblems regarding the construction of such methods have arisen. One such problem isthe collection and labeling of data sets. Specifically when it comes to many applicationsof Computer Vision (CV), one needs a set of images, labeled as either being of someclass or not. READ MORE

  4. 3. Deep Learning for Object Detection and Retrieval with Intel's NCS - as part of Autonomous Wheelchair Navigation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Georgios Tsiatsios; [2019]
    Keywords : ;

    Abstract : Deep Learning is one of the most approved research trends currently and has brought revolutionary advances in several computer vision applications. Its versatility and robustness motivated us to develop a project which consists of real-time object detection and object retrieval, as part of autonomous wheelchair navigation. READ MORE

  5. 4. Integration of Image and Word Embeddings for Descriptive Image Similarity

    University essay from Lunds universitet/Matematik LTH

    Author : David Gustafsson; Tobias Lindberg; [2017]
    Keywords : Image Similarity Description; Convolutional Neural Network; Image Retrieval; Word2vec; InceptionV3; Vector Space; Mathematics and Statistics;

    Abstract : Many people today possess a private digital photo collection. Such collections are often just chronologically sorted. READ MORE

  6. 5. Evaluation of standards and techniques for retrieval of geospatial raster data : a study for the ICOS Carbon Portal

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shirin Danehpash; [2015]
    Keywords : Rasdaman; Web Coverage Service WCS ; ICOS Carbon Portal; Physical Geography and Ecosystem analysis; geospatial raster data; Petascope; NetCDF; THREDDS; OpenLayers; geomatics; Technology and Engineering; Earth and Environmental Sciences;

    Abstract : Evaluation of Standards and Techniques for Retrieval of Geospatial Raster Data - A study for ICOS Carbon Portal Geospatial raster data represent the world as a surface with its geographic information which varies continuously. These data can be grid-based data like Digital Terrain Elevation Data (DTED) and geographic image data like multispectral images. READ MORE