MPEG-7 TEXTURE DESCRIPTORS

2001 ◽  
Vol 01 (03) ◽  
pp. 547-563 ◽  
Author(s):  
PENG WU ◽  
YANGLIM CHOI ◽  
YONG MAN RO ◽  
CHEE SUN WON
Keyword(s):  
Similarity Search ◽  
Texture Classification ◽  
Evaluation Criteria ◽  
Image Search ◽  
Texture Descriptor ◽  
Comprehensive Overview ◽  
Test And Evaluation ◽  
Evaluation Phase ◽  
Competitive Test ◽  
Edge Histogram

A texture description is useful in many applications including similarity based image search and browsing. We present here three texture descriptors that are being considered for the final committee draft of the ISO/MPEG-7 standard. A comprehensive overview of the syntax and semantics of these texture descriptors is provided. The Homogeneous Texture Descriptor (HTD) and the Edge Histogram Descriptor (EHD) are useful in similarity search. The HTD characterizes homogeneous texture regions and is also useful in texture classification and recognition. The EHD is applicable when the underlying texture is not homogeneous and can also be used in sketch based retrieval. In addition, a compact descriptor that facilitates browsing applications is also defined. These descriptors are selected after a highly competitive test and evaluation phase within the MPEG group and we briefly summarize the evaluation criteria, the datasets used and the experimental results.

Texture classification using the rotational-invariant local symmetric tetra pattern

2019 ◽  
Vol 17 (04) ◽  
pp. 1950027
Author(s):  
A. Suruliandi ◽  
A. Sinduja ◽  
S. P. Raja
Keyword(s):  
Pattern Recognition ◽  
Feature Extraction ◽  
Texture Classification ◽  
Texture Feature ◽  
Positive Sign ◽  
Texture Descriptor ◽  
Evaluation Measures ◽  
Local Description ◽  
Rotational Invariant ◽  
Rotationally Invariant

Feature extraction plays a key role in pattern recognition problems. The texture feature is an important feature which helps to describe an image with textural information. A new texture descriptor, the Local Symmetric Tetra Pattern (LSTP), is proposed in this work. This descriptor is developed for the local description of an image. It considers not only the surrounding eight neighbors, but also the eight pixels at the next level to describe the texture efficiently. For every pixel, the maximum edge value, the number of negative sign bits and the number of positive sign bits for each degree of symmetry are computed. Image classification is experimented using the Original Brodatz, Outex and Kylberg Texture Dataset v.1.0 databases. The investigation results are compared with existing method which shows promising achievement of the proposed techniques in terms of their evaluation measures. It is also found that the proposed texture descriptor is rotationally invariant.

Privacy-Preserving Outsourced Similarity Search

2014 ◽  
Vol 25 (3) ◽  
pp. 48-71 ◽  
Author(s):  
Stepan Kozak ◽  
David Novak ◽  
Pavel Zezula
Keyword(s):  
Similarity Search ◽  
Data Privacy ◽  
System Analysis ◽  
Keyword Search ◽  
Evaluation Criteria ◽  
Similarity Index ◽  
Data Retrieval ◽  
Privacy Preserving ◽  
Scientific Data ◽  
Sensitive Data

The general trend in data management is to outsource data to 3rd party systems that would provide data retrieval as a service. This approach naturally brings privacy concerns about the (potentially sensitive) data. Recently, quite extensive research has been done on privacy-preserving outsourcing of traditional exact-match and keyword search. However, not much attention has been paid to outsourcing of similarity search, which is essential in content-based retrieval in current multimedia, sensor or scientific data. In this paper, the authors propose a scheme of outsourcing similarity search. They define evaluation criteria for these systems with an emphasis on usability, privacy and efficiency in real applications. These criteria can be used as a general guideline for a practical system analysis and we use them to survey and mutually compare existing approaches. As the main result, the authors propose a novel dynamic similarity index EM-Index that works for an arbitrary metric space and ensures data privacy and thus is suitable for search systems outsourced for example in a cloud environment. In comparison with other approaches, the index is fully dynamic (update operations are efficient) and its aim is to transfer as much load from clients to the server as possible.

scholarly journals Psychological factors for the onset of depression: a meta-analysis of prospective studies

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050129
Author(s):  
Zhongfang Fu ◽  
Marlies Brouwer ◽  
Mitzy Kennis ◽  
Alishia Williams ◽  
Pim Cuijpers ◽  
...  
Keyword(s):  
Psychological Factors ◽  
Data Extraction ◽  
Meta Analysis ◽  
Evaluation Criteria ◽  
Dysfunctional Attitudes ◽  
Secondary Outcome ◽  
Comprehensive Overview ◽  
Psychological Theories ◽  
First Onset ◽  
Prospective Longitudinal

ObjectivesA comprehensive overview of the evidence for factors derived from leading psychological theories of the onset of major depressive disorder (MDD) that underpin psychological interventions is scarce . We aimed to systematically investigate the prospective evidence for factors derived from the behavioural, cognitive, diathesis–stress, psychodynamic and personality-based theories for the first onset of MDD.DesignSystematic review and meta-analysis.MethodsDatabases PubMed, PsycINFO, Cochrane and Embase and published articles were systematically searched from inception up to August 2019. Prospective, longitudinal studies that investigated theory-derived factors before the first onset of MDD, established by a clinical interview, were included. Screening, selection and data extraction of articles were conducted by two screeners. The Grading of Recommendations Assessment, Development and Evaluation criteria were used to estimate level of confidence and risk of bias. Meta-analysis was conducted using random-effects models and mixed-method subgroup analyses.Primary and secondary outcome measuresEffect size of a factor predicting the onset of MDD (OR, risk ratio or HR).ResultsFrom 42 133 original records published to August 2019, 26 studies met the inclusion criteria. Data were only available for the cognitive (n=6585) and personality-based (n=14 394) theories. Factors derived from cognitive theories and personality-based theories were related to increased odds of MDD onset (pooled OR=2.12, 95% CI: 1.12 to 4.00; pooled OR=2.43, 95% CI: 1.41 to 4.19). Publication bias and considerable heterogeneity were observed.ConclusionThere is some evidence that factors derived from cognitive and personality-based theories indeed predict the onset of MDD (ie, dysfunctional attitudes and negative emotionality). There were no studies that prospectively studied factors derived from psychodynamic theories and not enough studies to examine the robust evidence for behavioural and diathesis–stress theories. Overall, the prospective evidence for psychological factors of MDD is limited, and more research on the leading psychological theories is needed.PROSPERO registration numberCRD42017073975.

Test and Evaluation for Weapon Systems

2019 ◽  
pp. 98-110 ◽  
Author(s):  
Levent Eriskin ◽  
Murat M. Gunal
Keyword(s):  
Modeling And Simulation ◽  
Evaluation Criteria ◽  
Decision Makers ◽  
Value For Money ◽  
Weapon Systems ◽  
Defense Systems ◽  
Test And Evaluation ◽  
Systems Requirements

Defense systems are complex and expensive and decision makers acquiring these systems aspire better value for money. As part of a procurement decision, test and evaluation (T&E) is conducted to assess if the system is meeting desired requirements. This chapter reviews the concepts in T&E for weapon systems in the navy and presents the process for its implementation. The authors point out the role of modeling and simulation and how to use them to support T&E. The review reveals that developmental and operational T&E can examine weapon systems requirements before their deployment, T&E process can effectively be implemented in six steps, and mission/capacity requirements must be decomposed into predefined evaluation criteria.

Public food procurement for Italian schools: results from analytical and content analyzes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fiorella Pia Salvatore ◽  
Simone Fanelli ◽  
Gianluca Lanza ◽  
Michele Milone
Keyword(s):  
Food Quality ◽  
Local Level ◽  
Evaluation Criteria ◽  
Analytic Hierarchy ◽  
Short Supply ◽  
Study Objective ◽  
Content Type ◽  
Evaluation Phase ◽  
Almost All ◽  
Hierarchy Process

PurposeThe study objective was to understand if uniformity of approach exists in evaluation methods of public food tender for schools at national and local level. This purpose was divided into three sub-objectives: (1) to extract the main criteria, (2) to document the synthesizing findings process and (3) to prioritize the different decision-making alternatives through pairwise comparisons.Design/methodology/approachTo achieve the sub-objectives (1) and (2), a content analysis of the Italian food tenders was carried out. Analytic hierarchy process was used to evaluate and compare the importance of various food tender evaluation criteria (3). The inclusion criteria were: cities' selection; metro area population; population density; duration of the contract; years.FindingsSix public food tenders were analyzed. The first one concerned the National legislation guidelines. The remaining five food tenders were categorized according to the city investigated. Four macro-categories (Food quality; Sustainability; Resources; Ancillary services) were classified. AHP revealed that “Food quality” and “Resources” categories have greater importance in the evaluation phase of almost all cities investigated.Originality/valueThis study in-depth analyzes each criterion used to evaluate public food tenders, providing a new methodological framework for assigning scores to clusters of criteria. Since the literature search did not reveal any previous study on a quantitative evaluation of elements such as short supply chain, organic food and environmental impacts on public food tenders, this research delivers interesting results and fills this knowledge gap.

Sign in / Sign up

Export Citation Format

Share Document