Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques

This paper offers a comprehensive analysis of recent advancements in video inpainting techniques, a critical subset of computer vision and artificial intelligence. As a process that restores or fills in missing or corrupted portions of video sequences with plausible content, video inpainting has evolved significantly with the advent of deep learning methodologies. Despite the plethora of existing methods and their swift development, the landscape remains complex, posing challenges to both novices and established researchers. Our study deconstructs major techniques, their underpinning theories, and their effective applications. Moreover, we conduct an exhaustive comparative study, centering on two often-overlooked dimensions: visual quality and computational efficiency. We adopt a human-centric approach to assess visual quality, enlisting a panel of annotators to evaluate the output of different video inpainting techniques. This provides a nuanced qualitative understanding that complements traditional quantitative metrics. Concurrently, we delve into the computational aspects, comparing inference times and memory demands across a standardized hardware setup. This analysis underscores the balance between quality and efficiency: a critical consideration for practical applications where resources may be constrained. By integrating human validation and computational resource comparison, this survey not only clarifies the present landscape of video inpainting techniques but also charts a course for future explorations in this vibrant and evolving field

An elusive case of acute abdomen in dengue fever

Currently dengue is endemic in all continents except Europe and epidemic dengue hemorrhagic fever occurs in Asia. Hemorrhagic manifestations observed at every stage of illness, they are probably the summation of ill understood virus as well as host factors that result in the incompetence of vescular endothelium

Certain Investigations of prediction on Stock trend using various Optimization Techniques

A stock price represents a company’s value at any given point, trends of the same will be very volatile because of different trading activities, supply and demand of stocks, and companies’ financial outcomes. Predicting the correlation between price, time, and various other variables in any stock trend is an essential need for portfolio optimization. The model of LSTM(Long Short Term Memory) recurrent neural networks (RNN) is the optimal prediction method, with LSTM used for understanding temporal dependencies, which is well known for processing and understanding continuous data points, The above model gives structural integrity to most of the time-series data analysis. The stock market produces a vast amount of data, there will be fluctuation of prices every second, so training Neural Networks for an enormous amount of data takes extensive time, We are performing certain investigations on boosting the accuracy and reducing the time taken to train by further enhancing the above-given model, with modified versions of Adam, RMSProp, and AdaGrad optimization methods

4-Bromo­methyl-7-methyl-6,8-dinitro­coumarin

The crystal structure of the title compound, C11H7BrN2O6, establishes the substitution positions of the nitro groups from the nitration reaction of 7-methyl-4-bromo­methyl coumarin. The mean planes of the nitro groups form dihedral angles of 43.9 (8) and 52.7 (10)° with the essentially planar [maximum deviation 0.031 (6) Å] benzopyran ring system

Synthesis of rhodium(III) complexes with tris/tetrakis-benzimidazoles and benzothiazoles - quick identification of cyclometallation by nuclear magnetic resonance spectroscopy

Reactions of rhodium(III) halides with multidentate N, S-heterocycles, (LH3) 1,3,5-tris(benzimidazolyl)benzene (L1H3; 1), 1,3,5-tris(N-methylbenzimidazolyl) benzene (L2H3; 2) and 1,3,5-tris(benzothiazolyl)benzene (L3H3; 3), in the molar ratio 1 : 1 in methanol-chloroform produced mononuclear cyclometallated products of the composition RhX2 (LH2)(H2O) (X = Cl, Br, I; LH2 = L1H2, L2H 2, L3H2). When the metal to ligand (1-3 or 1,2,4,5-tetrakis(benzothiazolyl)benzene L4H2; 4) molar ratio was 2 : 1, the reactions yielded binuclear complexes of the compositions Rh2Cl5 (LH2)(H2O) 3 (LH2 = L1H2, L2H2, L 3H2) and Rh2X4 (L 4)(H2O) 2 (X= Cl, Br, I). Elemental analysis, IR and 1H nuclear magnetic resonance (NMR) chemical shifts supported the binuclear nature of the complexes. Cyclometallation was detected by conventional 13C NMR spectra that showed a doublet around �190 ppm. Cyclometallation was also detected by gradient-enhanced heteronuclear multiple bond correlation (g-HMBC) experiment that showed cross-peaks between the cyclometallated carbon and the central benzene ring protons of 1-3. Cyclometallation was substantiated by two-dimensional 1H- 1H correlated experiments (gradiant-correlation spectroscopy and rotating frame Overhauser effect spectroscopy) and 1H-13C single bond correlated two-dimensional NMR experiments (gradient-enhanced heteronuclear single quantum coherence). The 1H-15N g-HMBC experiment suggested the coordination of the heterocycles to the metal ion via tertiary nitrogen. © 2009 John Wiley & Sons, Ltd

Reactions of organo-rhodium complexes with multidentate N,N and N,S-heterocycles and exchange studies by NMR

Dihalobridged binuclear complexes Rh(diolefin)(μ-X)2 {diolefin = 1,5-cyclooctadiene (cod), X = Cl or Br; diolefin = norbornadiene (nbd), X = Cl}, undergo halide bridge cleavage reactions with multidentate N,N-heterocycles 1,3,5-tris(benzimidazolyl)benzene (L1H3), 1,3,5-tris(N-methylbenzimidazolyl)benzene (L2H3) and N,S-heterocycle 1,3,5-tris(benzothiazolyl)benzene (L3H3) to yield trinuclear heterocycle bridged complexes {RhX(cod)}3(μ-LH3) and {RhCl(nbd)}3(μ-LH3) (LH3 = L1H3, L2H3, L3H3). 1H NMR exchange measurements have shown resonances for olefinic protons 1â³, 2â³, 5â³ and 6â³ of cod at different chemical shifts, perhaps due to restricted Rh-N bond rotation. The olefinic and aliphatic protons would undergo exchange with each other and also with intermediate species. The exchange mechanism may be visualized to involve Rh-N bond breaking, rotation of the cod ligand of the T-shaped (three-coordinate) intermediate species followed by recomplexation. An alternate mechanism may be Rh-cod bond breaking at olefin positions 5â³ and 6â³, isomerisation of the T-complex such that 5â³/6â³ moves trans to X coupled with rotation of the heterocycle about the Rh-N bond (made easier by the reduced coordination number of the intermediate), followed by recoordination of 1â³/2â³ trans to N, followed by recomplexation. NMR signals from the intermediate species in one dimensional 1H, 13C and 2D NMR spectra have supported the exchange of protons. © 2009 Elsevier Ltd. All rights reserved

Spectrophotometric Determination of Ru(III) with Promazine Hydrochloride

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Rapid Spectrophotometric Determination of Ce(IV), As(III) & Nitrite with Promethazine Hydrochloride

763-76