The Experts below are selected from a list of 6453897 Experts worldwide ranked by ideXlab platform
Dodgsonneil - One of the best experts on this subject based on the ideXlab platform.
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Self-Similarity based texture editing
ACM Transactions on Graphics, 2002Co-Authors: Brooksstephen, DodgsonneilAbstract:We present a simple method of interactive texture editing that utilizes Self-Similarity to replicate intended operations globally over an image. Inspired by the recent successes of hierarchical app...
Brooksstephen - One of the best experts on this subject based on the ideXlab platform.
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Self-Similarity based texture editing
ACM Transactions on Graphics, 2002Co-Authors: Brooksstephen, DodgsonneilAbstract:We present a simple method of interactive texture editing that utilizes Self-Similarity to replicate intended operations globally over an image. Inspired by the recent successes of hierarchical app...
Rosalie Hooi - One of the best experts on this subject based on the ideXlab platform.
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Avatar-driven self-disclosure
Computers in Human Behavior, 2014Co-Authors: Rosalie HooiAbstract:The effect of avatar-self similarity on self-disclosure was examined.Self-awareness, self-presence, and identifiability are mediators.Avatar similarity increases self-disclosure via self-awareness and self-presence.Avatar similarity decreases self-disclosure via identifiability. Considering the importance of self-disclosure in building relationships and bonds, it is vital to investigate how self-disclosure is affected by avatars utilized in many online communities. In this study, we tested a research model that explores how perceived avatar-self similarity affects self-disclosure via different theoretical constructs such as self-awareness, self-presence, and identifiability. The research model was empirically tested with data from a web-based survey of 209 Second Life users. Results revealed that avatar similarity impacts self-disclosure but with varying effects, depending on how it is mediated by variables of identifiability, self-awareness and self-presence. Specifically, appearance similarity affects homophily, which heightens self-awareness. This results in increased feelings of self-presence, which positively affects self-disclosure. Homophily also has the effect of heightening perceptions of identifiability, which decreases self-disclosure. Implications and applications are discussed.
Jia Yong-can - One of the best experts on this subject based on the ideXlab platform.
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Self-Similarity Research of Complex Networks Based on Volume Dimension
Computer Engineering, 2008Co-Authors: Jia Yong-canAbstract:The Self-Similarity of complex networks has broad practical backgrounds. The reason and the course of Self-Similarity networks are formed and these three statistics characters of complex networks are discussed and analyzed in detail in this paper; besides,the concept of Self-Similarity groups is defined. This paper proposes that different local networks can be covered with different shortest path to reveal the Self-Similarity of complex networks. Both theoretical analysis and simulation results are the evolution and characters more exactly for many complex networks of the real world.
M. Moniri - One of the best experts on this subject based on the ideXlab platform.
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Self-Similarity: a measure for benchmarking sewh-fragile image authentication techniques
Proceedings of the Twenty-Second National Radio Science Conference 2005. NRSC 2005., 2005Co-Authors: S.n. El-din, M. MoniriAbstract:This paper proposes the use of generalized finite automata (GFA) as a method for retrieving the image Self-Similarity to be used as a measure for benchmarking semi-fragile image authentication techniques. A comparison between PSNR as a conventional-method and the proposed Self-Similarity measure for several types of images was conducted. These comparisons show that the Self-Similarity measure has a better correlation with the image perceptual quality than the conventional PSNR. Furthermore, the Self-Similarity can be used to determine the maximum level of JPEG compression that should be used to benchmark a group of image authentication techniques
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Self-Similarity: A MEASURE POR BENCHMARKI(NG SEMI-FRAGILE IMAGE AUTHENTICATION TECHNIQUES
2005Co-Authors: Shergnour El-din, M. MoniriAbstract:This paper proposes the use of generalized finite automata (GFA) as a method for retrieving the image Self-Similarity to be used as a measure for benchmarking semi-fragile image authentication techniques. A comparison between PSNR 8s a conventionahnethod and the proposed Self-Similarity measure for several types of images was conducted. These comparisons show that the Self-Similarity memure has a better correlation with the image perceptual quality than the conventional PSNR. Furthermore, the Self-Similarity can be used to determine the maximum level of JPEG compression that should be used to benchmark a group of image authentication techniques.
