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Large-Scale Content-Based Audio Retrieval from Text Queries
http://chechiklab.biu.ac.il/~gal/Papers/chechik_MIR2008.pdf
task of content-based image retrieval from text queries. 3.1 The Learning Problem Consider a text query q and a set of audio documents A, and let R(q,A) be the set of audio documents in A that are relevant to q. Given a query q, an optimal retrieval system should rank all the documents a ∈ A that are relevant for q ahead of the irrelevant ones
Large-Scale Content-Based Audio Retrieval from Text …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.4379
In this paper, we propose a machine learning approach for retrieving sounds that is novel in that it (1) uses free-form text queries rather sound sample based queries, (2) searches by audio content rather than via textual meta data, and (3) can scale to very large number of audio documents and very rich query vocabulary.
CBAR: Content-Based Audio Retrieval in Python - GitHub
https://github.com/dschwertfeger/cbar
CBAR is a Python package for content-based audio retrieval with text queries. It contains two retrieval methods. The Passive-Aggressive Model for Image Retrieval (PAMIR) was initially developed in the context of an image retrieval application [1] but has been proven to work equally well for audio retrieval applications [2] .
(PDF) Content-Based Audio Retrieval Using A
https://www.researchgate.net/publication/2554359_Content-Based_Audio_Retrieval_Using_A
Keywords: Image databases, query-by-content, color histograms, K-tree. 1 Introduction There has recently been a phenomenal increase in the use of images, along …
Large-Scale Video Retrieval Using Image Queries | …
https://www.researchgate.net/publication/313688960_Large-Scale_Video_Retrieval_Using_Image_Queries
Content Based Image Retrieval (CBIR) 1 [1] is an image processing technique to retrieve an image and its contents with a given object query from the …
Large-Scale Video Retrieval Using Image Queries
https://web.stanford.edu/~bgirod/pdfs/AraujoTransCSVT2018.pdf
large-scale setting. In contrast, our work introduces a new retrieval architecture, where in a first stage the query image can be directly compared to database video clips – significantly improving the scalability of the retrieval process. Fig. 1 presents the block diagram of a large-scale query-by-image video retrieval system.
Volume - journals.tdl.org
https://journals.tdl.org/jvwr/index.php/jvwr/article/download/635/523/
with content-based audio retrieval tools, can automate the sonification of virtual worlds. Our framework, currently under development, assists the search of sounds associated with 3D models and scenes, partly by relating text queries to social tags in the sound database, and partly by
See, Hear, and Read: Deep Aligned Representations
https://people.csail.mit.edu/yusuf/see-hear-read/paper.pdf
based audio retrieval from text queries. [40] uses probabilis-tic models for annotating novel audio tracks with words and retrieve relevant tracks given a text-based query. However, we seek to learn the relationship between sound and lan-guage using vision as an intermediary, i.e. we do not use audio+text pairs.
IMAGENET1M, A Dataset for Large Scale CBIR
http://www.cad.zju.edu.cn/home/dengcai/Data/ANNS/ANNSData.html
IMAGENET1M, A Dataset for Large Scale Content Based Image Retrieval ... Query: serves as ANNS query set. The corresponding images are those in half of the ILSVRC-15 validation set: we randomly selected 50% images from each category. Training: for deep neural network training. The corresponding images are those in 10% of the ILSVRC-15 training ...
TEMPORAL AGGREGATION FOR LARGE-SCALE QUERY-BY …
https://andrefaraujo.github.io/files/papers/2015-09-27-icip-temporal-aggregation.pdf
TEMPORAL AGGREGATION FOR LARGE-SCALE QUERY-BY-IMAGE VIDEO RETRIEVAL ... Sivic and Zisserman [1], was inspired by text retrieval systems based on the Bag-of-Words (BoW) model: low-level image features such as ... semantic unit for the given type of content. In this case, the scenes correspond to news stories.
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