An Overview of the IMCOP System Architecture with Selected Intelligent Utilities Emphasized

Baran, Remigiusz; Zeja, Andrzej; Ślusarczyk, Przemysław

doi:10.1007/978-3-319-26404-2_1

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to clear and comprehensive presentation of results, the user alone may choose the meaning and importance of certain metrics, making it possible to introduce a customised quality evaluation process. Both presented use-cases [3,25] of the software package utilised this property to aid their operation and, at the same time, prove its usability both for end-products and experimental set-ups. …”

Section: Discussionmentioning

confidence: 81%

“…Digital Analysis and Documentation of Multimedia Content", is a joint Polish-Israeli R&D project realised by a consortium consisting of four partners. In general, IMCOP's objectives are twofold and are referred to as: (i) multimedia data analysis and content discovery on one side and (ii) data aggregation, content related binding (finding and assigning content related connections between data) and delivery on the other [3]. An overall IMCOP platform architecture is illustrated in Fig.…”

Section: Integration With Imcop Architecturementioning

confidence: 99%

See 1 more Smart Citation

Software package for measurement of quality indicators working in no-reference model

Nawała

Leszczuk

Zajdel

et al. 2016

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

The key objective of No-Reference (NR) visual metrics (indicators) is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. In this paper, we present a versatile measurement system and describe various optimisation strategies utilised to reach real-time operation. Furthermore, several calculation automation scripts are described, along with a dedicated graphical user interface, which gives a more comprehensive insight into the presented system. On top of that, we show the results of crowd-sourcing experiments used to estimate subjective threshold values for quality indicators. Additionally, integration with the IMCOP system is introduced.

show abstract

Section: Discussionmentioning

confidence: 81%

Section: Integration With Imcop Architecturementioning

confidence: 99%

Software package for measurement of quality indicators working in no-reference model

Nawała

Leszczuk

Zajdel

et al. 2016

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other details of IMCOP's components and their functionalities can be found in preceding articles, e.g. in [3].…”

Section: Third-party Mes Servicesmentioning

confidence: 99%

A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment

Baran

Dziech

Zeja

2017

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

A new capable content discovery platform based on multimedia data enrichment is presented in this paper. The platform, known as the IMCOP system, refers to the concept of intelligent discovery and delivery of multimedia content. Relevant stateof-the-art solutions are described in detail in the background section. The overall architecture and the main components of the IMCOP system are presented next. An original concept of Complex Multimedia Objects which extend the MPEG-7 standard to hold the processed data and bind it into content related collections is introduced. Selected results of tests illustrating how the IMCOP system performs in terms of responsiveness and stability under a particular workload are reported. Finally, IMCOP's advantages in reference to other content discovery platforms are discussed and summed up.

show abstract

Efficiency Investigation of BoF, SVT and Pyramid Match Algorithms in Practical Recognition Applications

Baran

2017

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

View full text Add to dashboard Cite

An Overview of the IMCOP System Architecture with Selected Intelligent Utilities Emphasized

Cited by 3 publications

References 6 publications

Software package for measurement of quality indicators working in no-reference model

Software package for measurement of quality indicators working in no-reference model

A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment

Efficiency Investigation of BoF, SVT and Pyramid Match Algorithms in Practical Recognition Applications

Contact Info

Product

Resources

About