Analisis Seleksi Tingkat Kecocokan Gambar pada MDID Multimedia Database Dengan Menggunakan Metode ImageDNA

Jimmy Moedjahedy; Hamada Zein; Isdayani B; Erfan Tongalu; Kusrini Kusrini; M. Syukri Mustafa

doi:10.31154/cogito.v6i1.223.50-59

Analisis Seleksi Tingkat Kecocokan Gambar pada MDID Multimedia Database Dengan Menggunakan Metode ImageDNA

CogITo Smart Journal ◽

10.31154/cogito.v6i1.223.50-59 ◽

2020 ◽

Vol 6 (1) ◽

pp. 50

Author(s):

Jimmy Moedjahedy ◽

Hamada Zein ◽

Isdayani B ◽

Erfan Tongalu ◽

Kusrini Kusrini ◽

...

Keyword(s):

Image Database ◽

Multimedia Database ◽

Distorted Image

Dengan semakin tersedianya pilihan informasi digital saat ini, definisi multimedia yang umum diterima adalah kombinasi dari berbagai media seperti teks, gambar, suara, video, animasi. Dalam teoris basisdata, multimedia basisdata mulai dikenalkan yaitu kumpulan data multimedia terkait. Basisdata yang dipilih untuk optimasi dalam penelitian ini adalah MDID (Multiply Distorted Image Database) yang terdiri dari 20 gambar referensi dan 1600 gambar yang sudah diberikan distorsi. Basidata 1600 gambar tersebut akan diuji kecocokan dengan 20 gambar referensi dengan menggunakan metode ImageDNA. Nilai ImageDNA kemudian dilakukan uji data pencilan, sehingga gambar yang nilai ImageDNAnya ekstrim akan dikeluarkan dari basisdata MDID. Hasil dari penelitian ini adalah ada 100 gambar yang dikeluarkan

Download Full-text

MDID: A multiply distorted image database for image quality assessment

Pattern Recognition ◽

10.1016/j.patcog.2016.07.033 ◽

2017 ◽

Vol 61 ◽

pp. 153-168 ◽

Cited By ~ 35

Author(s):

Wen Sun ◽

Fei Zhou ◽

Qingmin Liao

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Image Database ◽

Distorted Image

Download Full-text

A Multiple-Instance Learning Based Approach to Multimodal Data Mining

Multimedia Storage and Retrieval Innovations for Digital Library Systems ◽

10.4018/978-1-4666-0900-6.ch007 ◽

2012 ◽

pp. 124-142

Author(s):

Zhongfei (Mark) Zhang ◽

Zhen Guo ◽

Jia-Yu Pan

Keyword(s):

Data Mining ◽

State Of The Art ◽

Image Database ◽

Multiple Instance Learning ◽

Multimedia Database ◽

Theoretic Analysis ◽

Specific Domain ◽

Multimodal Data ◽

Learning Framework ◽

Multimodal Data Mining

This paper presents multiple-instance learning based approach to multimodal data mining in a multimedia database. This approach is a highly scalable and adaptable framework that the authors call co-learning. Theoretic analysis and empirical evaluations demonstrate the advantage of the strong scalability and adaptability. Although this framework is general for multimodal data mining in any specific domain, to evaluate this framework, the authors apply it to the Berkeley Drosophila ISH embryo image database for the evaluations of the mining performance in comparison with a state-of-the-art multimodal data mining method to showcase the promise of the co-learning framework.

Download Full-text

Design of Naturally Distorted Image Database-NDID

2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc46631.2019.8960857 ◽

2019 ◽

Author(s):

Guoxiang Zeng ◽

Ping Shi

Keyword(s):

Image Database ◽

Distorted Image

Download Full-text

The distorted image: Stereotype and caricature in American popular graphics, 1850-1922

PsycEXTRA Dataset ◽

10.1037/e511022004-001 ◽

1992 ◽

Keyword(s):

Distorted Image

Download Full-text

Multimedia system and database simulation based on internet of things and cloud service platform

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189253 ◽

2020 ◽

pp. 1-12

Author(s):

Zhang Caiqian ◽

Zhang Xincheng

Keyword(s):

Internet Of Things ◽

Cloud Service ◽

Multimedia System ◽

The Internet ◽

Multimedia Database ◽

Cloud Platform ◽

Service Platform ◽

Device Management ◽

Cloud Service Platform ◽

The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Download Full-text