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Free sign upThe phrase "in a compressed domain" is correct and usable in written English.
It can be used in contexts related to data processing, signal processing, or any field where information is stored or transmitted in a reduced format. Example: "The algorithm operates efficiently in a compressed domain, allowing for faster data retrieval and processing."
Exact(3)
Liu et al. [17] investigate the event detection in a compressed domain automatically.
Kapotas and Skodras [9] drop video frames in a compressed domain to attain suitable frame rate when the bandwidth of the network is limited.
We show that bottom-up visual saliency computed using this model is competitive with the current state-of-the-art while allowing computation in a compressed domain and mimicking the human visual system with nearly half (45%) of computational effort focused within the fovea.
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In this paper, we propose a new postprocessing algorithm for JPEG compressed images considering a compressed domain lossless data hiding scheme.
A compressed domain generic object tracking algorithm offers, in combination with a face detection algorithm, a low-compu-tational-cost solution to the problem of detecting and locating faces in frames of compressed video sequences (such as MPEG-1 or MPEG-2).
Combined with a video transcoder and the idea of ROI, a compressed domain transcoder from MPEG-2 to H.264/AVC is proposed in [20] to reduce the computation complexity.
We present the architecture of a compressed domain search and retrieval system for archival information and indicate its suitability for implementation in a parallel and distributed environment using random access property of the two-pass LZW algorithm.
If a given spectrum is very different from all the other spectra in the data set with respect to a particular variable(s) in the compressed domain i.e. the intensity value of a spectrum is less (or greater) than the defined threshold for a particular variable(s), then it can be considered as an outlier.
According to the problem in anomaly detection of big data, an anomaly detection algorithm in the compressed domain is proposed which makes full use of the advantages of compressive sensing technology.
Meanwhile, the results showed that the difference of the average criterion of a subgroup between without a human being and with a human being became more obvious in the compressed domain.
In this paper, we present a novel approach for video summarization that works in the compressed domain and allows the progressive generation of a video summary.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com