Notice: Undefined index: linkPowrot in C:\wwwroot\wwwroot\publikacje\publikacje.php on line 1275
Publikacje
Pomoc (F2)
[62780] Artykuł:

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

Czasopismo: Multimedia Tools and Applications   Tom: 77, Zeszyt: 11, Strony: 14077-14091
ISSN:  1380-7501
Opublikowano: Czerwiec 2018
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Do oświadczenia
nr 3
Grupa
przynależności
Dyscyplina
naukowa
Procent
udziału
Liczba
punktów
do oceny pracownika
Liczba
punktów wg
kryteriów ewaluacji
Remigiusz Baran orcid logo WEAiIKatedra Informatyki, Elektroniki i Elektrotechniki *Takzaliczony do "N"Automatyka, elektronika, elektrotechnika i technologie kosmiczne7025.00.00  
Andrzej Dziech Niespoza "N" jednostki20.00.00  
Andrzej Zeja Niespoza "N" jednostki10.00.00  

Grupa MNiSW:  Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A)
Punkty MNiSW: 25


Pełny tekstPełny tekst     DOI LogoDOI     Web of Science Logo Web of Science    
Keywords:

Content discovery and delivery  Recommender engines  Visual analysis  Data enrichment  Multimedia indexing  Complex multimedia objects 



Abstract:

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 state-of-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.



B   I   B   L   I   O   G   R   A   F   I   A
1. Baran R, Wiraszka D, Dziech W (2000) Scalar quantization in the PWL transform spectrum domain. Proc. Intern. Conf. on Mathematical Methods in Electromagnetic Theory, In, pp 218–221. doi:10.1109/MMET.2000.888560
2. Baran R, Rusc T, Rychlik M (2014) A smart camera for traffic surveillance. In: Dziech A, Czyżewski A (eds) MCSS 2014. CCIS, vol 429. Springer, Heidelberg, pp 1–15. doi:10.1007/978-3-319-07569-3_1
3. Baran, R., Zeja, A., Slusarczyk, P.: An Overview of the IMCOP System Architecture with Selected Intelligent Utilities Emphasized. In Multimedia Communications, Services and Security, vol. 566 of the series Communications in Computer and Information Science, pp 3–17. Springer, Heidelberg (2015), doi:10.1007/978-3-319-26404-2_1
4. Blanco-Fernandez Y, Pazos-arias JJ, Gil-Solla A, Ramos-Cabrer M, Lopez-Nores M (2008) Providing entertainment by content-based filtering and semantic reasoning in intelligent recommender systems. IEEE Trans Consum Electron 54(2):727–735
5. Bleschke, M, Madonski R, Rudnicki R (2009) image retrieval system based on combined MPEG-7 texture and colour descriptors. In Proc. of the 16th Int. Conf. On mixed Design of Integrated Circuits & systems (MIXDES '09), pp. 635-639, Lodz
6. Cerqueira E, Janowski L, Leszczuk M, Papir Z, Romaniak P (2009) Video artifacts assessment for live mobile streaming applications. In: Mauthe A, Zeadally S, Cerqueira E, Curado M (eds) FMN 2009. LNCS, vol 5630. Springer, Heidelberg, pp 242–247
7. Chatzichristofis, S. A., Boutalis, Y. S.: CEDD: Color and Edge Directivity Descriptor: A Compact Descriptor for Image Indexing and Retrieval. Computer Vision Systems, vol. 5008, pp. 312–322, Springer, Heidelberg (2008), doi:10.1007/978-3-540-79547-6_30,
8. Chatzichristofis SA, Boutalis YS (2008) FCTH: fuzzy color and texture histogram - a low level feature for accurate image retrieval. In Proc. of the Ninth Int. Workshop on Image Analysis for Multimedia Interactive Services, Klagenfurt, pp 191–196
9. Eshkol A, Grega M, Leszczuk M, Weintraub O (2014) Practical application of near duplicate detection for image database. In: Dziech A, Czyżewski A (eds) MCSS 2014. CCIS, vol 429. Springer, Heidelberg, pp 73–82. doi:10.1007/978-3-319-07569-3_6
10. Howlett RJ (2003) Internet-based intelligent information processing systems, series on innovative intelligence, vol 3.
11. http://deep.it/, (viewed July 25, 2016)
12. http://googlescholar.blogspot.com/2012/08/scholar-updates-making-new-connections.html, (viewed July 25, 2016)
13. http://lucene.apache.org/solr/, (viewed July 25, 2016)
14. http://techblog.outbrain.com/2011/04/under-the-hood-of-our-algorithmic-engine-how-we-serve-content-recommendations/, (viewed July 25, 2016)
15. http://www.cnet.com/how-to/samsung-smart-tv-spying/, (viewed July 25, 2016)
16. http://www.intel.com/content/www/us/en/internet-of-things/infographics/guide-to-iot.html, (viewed July 25, 2016)
17. http://www.live-counter.com/how-big-is-the-internet/, (viewed July 25, 2016)
18. http://www.nature.com/news/how-to-tame-the-flood-of-literature-1.15806, (viewed July 25, 2016)
19. http://www.tvbeurope.com/global-pay-tv-market-exceed-one-billion-2017/, (viewed July 25, 2016)
20. http://www.viaccess-orca.com/content-discovery-platform.html, (viewed July 25, 2016)
21. http://www.viaccess-orca.com/resource-center/white-papers/462-going-deep-into-discovery.html, (viewed July 25, 2016)
22. https://en.wikipedia.org/wiki/Content_discovery_platform, (viewed July 25, 2016)
23. https://www.facebook.com/deepmagazines/, (viewed July 25, 2016)
24. Michael J. Pazzani and Daniel Billsus. 2007. Content-based recommendation systems. In the adaptive web, Peter Brusilovsky, Alfred Kobsa, and Wolfgang Nejdl (Eds.). Lecture notes in computer science, Vol. 4321. Springer-Verlag, Berlin 325-341,
25. Romaniak P, Janowski L, Leszczuk M, Papir Z (2012) Perceptual quality assessment for H.264/AVC compression. In: Proc. of consumer communications and networking conference (CCNC), pp 597-602. doi:10.1109/CCNC.2012.6181021
26. Salembier P, Smith JR (2001) MPEG-7 multimedia description schemes. IEEE Transactions on Circuits and Systems for Video Technology 11(6):748–759
27. Salter J, Antonoupoulos N (2006) CinemaScreen recommender agent: combining collaborative and content-based filtering. IEEE Intell Syst 21(1):35–41
28. Slusarczyk, P., Baran, R.: Piecewise-linear subband coding scheme for fast image decomposition, multimedia tools and applications. Springer, US (2014), doi:10.1007/s11042-014-2173-1,
29. Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Advances in Artificial Intelligence