vitrivr's next-generation retrieval engine. It is capable of extracting and retrieving a wider range of multimedia objects such as audio, video, images or 3d models.
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Updated
Sep 11, 2024 - Kotlin
vitrivr's next-generation retrieval engine. It is capable of extracting and retrieving a wider range of multimedia objects such as audio, video, images or 3d models.
ImaginAItion is a small app for image retrieval that I developed as the final project for the Multimedia Data Management course at the University of Bologna.
vitrivr-VR is a virtual reality interface for the vitrivr multimedia retrieval system.
Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.
vitrivr NG is a web-based user interface for searching and browsing mixed multimedia collections. It uses cineast as a backend
Various utilities to deal with metadata and content provided by the Berlin State Library/Staatsbibliothek zu Berlin
ADAMpro is a database system to store and retrieve multimedia data. It provides Boolean retrieval and similarity search and makes use of a various index structures for efficient retrieval.
Long-Tail Hashing (Learning to hash from more realistic long-tail datasets), SIGIR 2021, CCF A类.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
媒体计算实践作业:图像——文本跨模态搜索
A prototype of a CBIR food-retrieval application using GLCM and CIE Lab color space.
In-memory index-structures for efficient retrieval of multimedia documents based on input queries.
A simple attention deep learning model to answer questions about a given video with the most relevant video intervals as answers.
Paper summary of Most read paper in Advanced Topics in Multimedia Analysis and Indexing course in National Taiwan University
Adversarial queries for blocking Content-based Image Retrieval (CBIR)
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