Low-cost image indexing for massive database

Park, Je-Ho

doi:10.1007/s11042-014-2026-y

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…The color histogram compression based feature extraction might need much more processing time and might not be appropriate for composing the text based identifier composition or indexing. In [23], we proposed mainly two approaches for the generation of an image identifier. One method utilizes the edge and line segment for image identification while the other composes luminance areas and utilizes the distribution of the composed luminance areas.…”

Section: Related Workmentioning

confidence: 99%

“…In [23], we studied the luminance area and the segment based image identifier generation methods. We define a luminance area as a collection of adjacent pixels which share the same luminance value.…”

Section: Luminance Area Based Image Identifier Generationmentioning

confidence: 99%

“…If the number of luminance areas is controlled in well-organized manner, the collection of information regarding the distribution of luminance areas can be helpful to generate an identifier effectively. In [23], we studied for this issue and demonstrated the optimal degree of luminance variance.…”

Section: Luminance Area Based Image Identifier Generationmentioning

confidence: 99%

“…In order to analyze the direct effect of methods, we generated identifiers by using only the extracted values from the images excluding the static image related values. Regarding the number of virtual lines, we conducted experiments to determine the optimal value in [23]. According to the experimental analysis, we use eight virtual lines in our experiments for luminance and location based identifier generation.…”

Section: Evaluation Of Identifier Generationmentioning

confidence: 99%

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A Novel Image Identifier Generation Method Using Luminance and Location

Park

Whangbo

Kim

2016

Wireless Pers Commun

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It has been more than 40 years since the first digital imaging sensor was invented. For the last four decades, image acquisition functionality has continuously been improved, in terms of quality, size and cost. Consequently the digital imaging techniques started to be utilized in the digital camera industry and various component applications as well. According to the trend of the current applications of digital imaging, images are being produced not only by the conventional mechanism, such as regular camera, but also by the applications with digital image acquisition functionality, who aim to better understand the circumstances using an analysis of images. As a consequence of this trend, the amount of images created by diverse image related devices is immeasurably huge. Moreover the utilization of such voluminous amount of images demands a management system that can support information management operations, such as search, contents duplication and modification detection. These operations can be efficiently and effectively processed when the image related operations are performed by the usage of distinctive values, not by the image processing operations which require much more processing time. In order to meet the satisfaction of the requirement, we have been studied approaches that can utilize the line segments and the luminance areas. However, those approaches are disadvantage in the case of that an image contains the relatively large regions with sparse & Taeg Keun Whangbo edges or stationary luminance. In order to resolve such circumstances, in this paper, we present a more improved approach, in the perspective of cost and requirement satisfaction. The proposed method mainly exploits luminance areas and pixel location, so that the produced image identifiers could satisfy one-to-one relationship between images and identifiers. With experimental evaluations, we demonstrate that our approach is most favorable considering cost-effectiveness and efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Luminance Area Based Image Identifier Generationmentioning

confidence: 99%

Section: Luminance Area Based Image Identifier Generationmentioning

confidence: 99%

Section: Evaluation Of Identifier Generationmentioning

confidence: 99%

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A Novel Image Identifier Generation Method Using Luminance and Location

Park

Whangbo

Kim

2016

Wireless Pers Commun

Self Cite

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Automatic Generation of Image Identifiers Based on Luminance and Parallel Processing

Park

2018

Software Engineering Research, Management and Applications

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Study on Effective Temporal Data Retrieval Leveraging Complex Indexed Architecture

Kvet

Kršák

2021

Applied Sciences

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Current intelligent information systems require complex database approaches managing and monitoring data in a spatio-temporal manner. Many times, the core of the temporal system element is created on the relational platform. In this paper, a summary of the temporal architectures with regards to the granularity level is proposed. Object, attribute, and synchronization group perspectives are discussed. An extension of the group temporal architecture shifting the processing in the spatio-temporal level synchronization is proposed. A data reflection model is proposed to cover the transaction integrity with reflection to the data model evolving over time. It is supervised by our own Extended Temporal Log Ahead Rule, evaluating not only collisions themselves, but the data model is reflected, as well. The main emphasis is on the data retrieval process and indexing with regards to the non-reliable data. Undefined value categorization supervised by the NULL_representation data dictionary object and memory pointer layer is provided. Therefore, undefined (NULL) values can be part of the index structure. The definition and selection of the technology of the master index is proposed and discussed. It allows the index to be used as a way to identify blocks with relevant data, which is of practical importance in temporal systems where data fragmentation often occurs. The last part deals with the syntax of the Select statement extension covering temporal environment with regards on the conventional syntax reflection. Event_definition, spatial_positions, model_reflection, consistency_model, epsilon_definition, monitored_data_set, type_of_granularity, and NULL_category clauses are introduced. Impact on the performance of the data manipulation operations is evaluated in the performance section highlighting temporal architectures, Insert, Update and Select statements forming core performance characteristics.

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Low-cost image indexing for massive database

Cited by 4 publications

References 10 publications

A Novel Image Identifier Generation Method Using Luminance and Location

A Novel Image Identifier Generation Method Using Luminance and Location

Automatic Generation of Image Identifiers Based on Luminance and Parallel Processing

Study on Effective Temporal Data Retrieval Leveraging Complex Indexed Architecture

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