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ABSTRACT: In this work, we propose a utility-driven preprocessing technique for high-efficiency screen content video (SCV) compression based on the temporal masking effect, which was found to be a fundamental attribute that plays an important role in human visual perception of video quality, but has not been fully exploited in the context of SCV coding. […]
ABSTRACT: In this project, we propose an amazing failure rank and scanty portrayal demonstrate for moving article location. The model jam the regular space-time structure of video groupings by speaking to them as three-way tensors. At that point, it works the low-rank foundation and meager forefront disintegration in the tensor system. From one viewpoint, we […]
ABSTRACT: Identification of moving items in a video caught by an openly moving camera is a testing issue in PC vision. Most existing strategies regularly accept that the foundation (BG) can be approximated by predominant single plane/numerous planes or force noteworthy geometric imperatives on BG, or use a complex BG/forefront probabilistic model. Rather, we propose […]
ABSTRACT: Moving item extraction is the center of occasion location in video observation. Albeit many related strategies have been proposed to extricate moving items, even propelled applications still experience depression issues, which are false location and insufficiencies coming about because of holes inside the body or divided frontal area objects. In this paper, a totally […]
ABSTRACT: This project proposes an expanded particular encryption (SE) technique for both H.264/propelled video coding (AVC) (CABAC) and High Efficiency Video Coding (HEVC) streams, tending to the principle security issue that SE is confronting: content insurance, identified with the measure of data spillage through an ensured video. Our commitment is the change in the visual […]
ABSTRACT: Delicate blunders coming about because of encoding video groupings on questionable equipment can make noteworthy antiques in decoded video successions, adding to outrageous video quality debasement. Present day frameworks are required to work under progressively difficult imperatives, including littler element sizes and lower working voltage, improving the probability of delicate mistakes in the video […]
ABSTRACT: With developing logical inconsistency between the rapid obtaining of remote detecting information and the low-speed information stockpiling and transmission, the benefits of giving higher need to an area of intrigue (ROI) in pressure have turned out to be conspicuous. Past research concentrated on ROI coding, as opposed to programmed ROI extraction. In any case, […]
ABSTRACT: This project tends to the issue of proficient prescient lossless pressure on the locales of intrigue (ROIs) in the hyperspectral pictures without any information districts. We propose a two-organize expectation conspire, where a setting closeness based weighted normal forecast is trailed by recursive slightest square separating to decorrelate the hyperspectral pictures for pressure.We at […]
ABSTRACT: Crafted by Levin et al. (2004) advanced stroke-based strategies that add shading to dark esteem pictures as per a little measure of client determined shading tests. Despite the fact that such recreations from scanty information propose a conceivable use in pressure, just couple of endeavors were made so far toward this path. Dissemination based […]
ABSTRACT: Sparse representation(SR) can change otherworldly marks of hyperspectral pixels into scanty coefficients with not very many nonzero sections, which can productively be utilized for pressure. In this project, a ghostly spatial versatile SR (SSASR) technique is proposed for hyperspectral picture (HSI) pressure by exploiting the otherworldly and spatial data of HSIs. To start with, […]