Sentence examples for a compressed domain from inspiring English sources

In this paper, we propose a new postprocessing algorithm for JPEG compressed images considering a compressed domain lossless data hiding scheme.

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.

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.

Liu et al. [17] investigate the event detection in a compressed domain automatically.

Therefore, we further simplify and extend our early work [58] to develop a compressed domain transition effect detection scheme for highlight extraction.

Kapotas and Skodras [9] drop video frames in a compressed domain to attain suitable frame rate when the bandwidth of the network is limited.

Jiao et al. [8] designed a robust compressed domain audio fingerprinting algorithm, taking the ratio between the sub-band energy and full-band energy of a segment as intra-segment feature and the difference between continuous intra-segment features as inter-segment feature.

Zhou and Zhu [9] designed an MP3 compressed domain audio fingerprinting algorithm.

Then, can we develop a new type of compressed domain feature to achieve high robustness in audio fingerprinting?

We discuss ways to search the information from its compressed format and introduce some recent work on compressed domain pattern matching, with a focus on a new two-pass compression algorithm based on 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.