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Scene classification plays an important role in the interpretation of remotely sensed high-resolution imagery. However, the performance of scene classification strongly relies on the discriminative power of feature representation, which is generally hand-engineered and requires a huge amount of domain-expert knowledge as well as time-consuming hand tuning. Recently, unsupervised feature learning (UFL)...
At present, in digital fingerprinting coding algorithm, AND-ACC based on BIBD is the most efficient and can precisely trace several colluders. But when the extracted fingerprint is damaged, a miscarriage of justice is likely to occur. And when the number of users becomes larger, the efficiency of algorithm declines rapidly. Here, combined ACC based on Euclidean Geometries (EG) with ECC, the first...
Distributed video coding (DVC) is a novel approach providing new features as low complexity encoding by mainly exploiting the source statistics at the decoder based on the availability of decoder side information. In this paper, scalable-to-lossless DVC is presented based on extending a lossy Transform Domain Wyner-Ziv (TDWZ) distributed video codec with feedback. The lossless coding is obtained by...
The problem of the multimedia scalable video streaming is a current topic of interest. There exist many methods for scalable video coding. This paper is focused on the scalable extension of H.264/AVC (H.264/SVC) and distributed video coding (DVC). The paper presents an efficiency comparison of SVC and DVC having reduced encoder complexity. Moreover, temporal scalability is described for these two...
Distributed Video Coding (DVC) is a new video coding paradigm which mainly exploits the source statistics at the decoder based on the availability of some decoder side information. The quality of the side information has a major impact on the DVC rate-distortion (RD) performance in the same way the quality of the predictions had a major impact in predictive video coding. In this paper, a DVC solution...
Distributed video coding (DVC) has been proposed as a new video coding paradigm to deal with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. A virtual channel noise model is utilized at the decoder to estimate the noise distribution between the side information frame and the original frame. This is one of the most...
As a new coding paradigm, distributed video coding (DVC) deals with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. The performance of DVC highly depends on the quality of side information. With a better side information generation method, fewer bits will be requested from the encoder and more reliable decoded frames...
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