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Bei Zotero:


  1. T. Schloss­er, F. Beuth, M. Friedrich, and D. Kow­erko, “A Nov­el Visu­al Fault Detec­tion and Clas­si­fi­ca­tion Sys­tem for Semi­con­duc­tor Man­u­fac­tur­ing Using Stacked Hybrid Con­vo­lu­tion­al Neur­al Net­works,” in Pro­ceed­ings of the ITFA, Zaragoza, 2019.
  2. R. Man­they, “Bilderzeu­gung von virtuellen Szenen mit­tels vier- und sech­seck­basiert­er oder wahl­freier Rasterung,” tm — Tech­nis­ches Messen, vol. 0, no. 0, Jun. 2019.
  3. A. Sam­path-Kumar, R. Erler, and D. Kow­erko, “A Real-Time Demo for Acoustic Event Clas­si­fi­ca­tion in Ambi­ent Assist­ed Liv­ing Con­texts (sub­mit­ted),” pre­sent­ed at the ACM Mul­ti­me­dia 2019, 2019, pp. 1–5.
  4. R. Thomanek et al., “A Scal­able Sys­tem Archi­tec­ture for Activ­i­ty Detec­tion with Sim­ple Heuris­tics,” in 2019 IEEE Win­ter Appli­ca­tions of Com­put­er Vision Work­shops (WACVW), Waikoloa Vil­lage, HI, USA, 2019, pp. 27–34.
  5. R. Man­they and D. Kow­erko, “Hexag­o­nal Image Gen­er­a­tion by Vir­tu­al Mul­ti-Grid-Cam­era,” in Advances in Intel­li­gent Sys­tems and Com­put­ing, San Diego, CA, 2019, vol. 903, pp. 1–8.
  6. R. Man­they et al., “Visu­al Sys­tem Exam­i­na­tion using Syn­thet­ic Sce­nar­ios,” in Proc. IHSI 2019, San Diego, CA, 2019, pp. 1–5.


  1. Börn­er, R., Kow­erko, D., Hadz­ic, M.C.A.S., König, S.L.B., Rit­ter, M., and Sigel, R.K.O. (2018). Sim­u­la­tions of cam­era-based sin­gle-mol­e­cule flu­o­res­cence exper­i­ments. PLOS ONE 13, 1–23.
  2. Erler, R., Man­they, R., Hus­sein, H., Siegel, R., and Kow­erko, D. (2018). Real­i­sa­tion of an Audio & Video Lab­o­ra­to­ry for Pre­cise Object Local­i­sa­tion and Track­ing. In Elek­tro­n­is­che Sprachsig­nalver­ar­beitung 2018 (ESSV 2018), p.
  3. Goeau, H., Kahl, S., Glotin, H., Planque, R., and Joly, A. (2018). Overview of Bird­CLEF 2018: mono­species vs. sound­scape bird identi?cation. In CLEF 2018 Work­ing Notes, p. 12.
  4. Hadz­ic, M.C.A.S., Börn­er, R., König, S.L.B., Kow­erko, D., and Sigel, R.K.O. (2018). Reli­able State Iden­ti­fi­ca­tion and State Tran­si­tion Detec­tion in Flu­o­res­cence Inten­si­ty-Based Sin­gle-Mol­e­cule Förster Res­o­nance Ener­gy-Trans­fer Data. The Jour­nal of Phys­i­cal Chem­istry B 122, 6134–6147.
  5. Haupt, J., Kahl, S., Kow­erko, D., and Eibl, M. (2018). Large-Scale Plant Clas­si­fi­ca­tion using Deep Con­vo­lu­tion­al Neur­al Net­works. In Work­ing Notes of CLEF, p.
  6. Heinz, M., Kow­erko, D., and Brun­nett, G. (2018). Cam­era-based col­or mea­sure­ment of DLP pro­jec­tors using a semi-syn­chro­nized pro­jec­tor cam­era sys­tem. In Proc. SPIE, P. Schelkens, T. Ebrahi­mi, and G. Cristóbal, eds. (SPIE), p. 23.
  7. Kahl, S., Wil­helm-Stein, T., Klinck, H., Kow­erko, D., and Eibl, M. (2018a). A Base­line for Large-Scale Bird Species Iden­ti­fi­ca­tion in Field Record­ings. In Work­ing Notes of CLEF, p.
  8. Kahl, S., Wil­helm-Stein, T., Klinck, H., Kow­erko, D., and Eibl, M. (2018b). Bird­NET: Real-time Bird Sound Iden­ti­fi­ca­tion using Con­vo­lu­tion­al Neur­al Net­works. In Pro­ceed­ings of the  10th Inter­na­tion­al Con­fer­ence on Eco­log­i­cal Infor­mat­ics, (Jena), p.
  9. Kahl, S., Wil­helm-Stein, T., Klinck, H., Kow­erko, D., and Eibl, M. (2018c). Rec­og­niz­ing Birds from Sound — The 2018 Bird­CLEF Base­line Sys­tem. ArX­iv E‑Prints 4.
  10. Man­they, R., and Kow­erko, D. (2018). Visuelle Szenendiskretisierung mit­tels wahl­freien Bil­drastern am Beispiel von Drei‑, Vier- und Sech­seck­pix­eln. In Forum Bild­ver­ar­beitung 2018, (Karl­sruhe, Ger­many: KIT Sci­en­tif­ic Pub­lish­ing), pp. 95–104.
  11. Man­they, R., Thomanek, R., Roschke, C., Rit­ter, M., and Kow­erko, D. (2018). Syn­thet­ic Ground Truth Gen­er­a­tion for Test­ing, Tech­nol­o­gy Eval­u­a­tion and Ver­i­fi­ca­tion (Synt­TEV). In Pro­ceed­ings of British HCI 2018, (Belfast, UK), p.
  12. Taubert, S., Mauer­mann, M., Kahl, S., Kow­erko, D., and Eibl, M. (2018). Species Pre­dic­tion based on Envi­ron­men­tal Vari­ables using Machine Learn­ing Tech­niques. In Work­ing Notes of CLEF, p.
  13. Thomanek, R., Roschke, C., Man­they, R., Plat­te, B., Rol­letschke, T., Heinzig, M., Vodel, M., Kow­erko, D., Kahl, S., Zim­mer, F., et al. (2018). Uni­ver­si­ty of Applied Sci­ences Mit­twei­da and Chem­nitz Uni­ver­si­ty of Tech­nol­o­gy at TRECVID 2018. In TRECVID 2018, 22th Inter­na­tion­al Work­shop on Video Retrieval Eval­u­a­tion, 13–15 Novem­bre 2018, Gaithers­burg, Ma, USA, (Gaithers­burg, UNITED STATES), p.


  1. T. Ziet­low, H. Hus­sein, and D. Kow­erko, “Acoustic Source Local­iza­tion in Home Envi­ron­ments — The Effect of Micro­phone Array Geom­e­try,” in Elek­tro­n­is­che Sprachsig­nalver­ar­beitung 2017 (ESSV 2017), Saar­brück­en: TUD­press, 2017, pp. 219–226.
  2. M. Vodel and M. Rit­ter, “Ther­mal Fin­ger­prints for Com­pu­ta­tion­al Tasks – Ben­e­fits and Secu­ri­ty Issues,” in Inter­na­tion­al Con­fer­ence on Elec­tron­ics, Infor­ma­tion and Com­mu­ni­ca­tion ICEIC, Thai­land, 2017.
  3. M. Vodel and M. Rit­ter, “Ther­male Fin­ger­ab­drücke für Soft­ware Tasks,” pre­sent­ed at the Innose­cure 2015 — Inno­va­tio­nen in den Sicher­heit­stech­nolo­gien, Deutsch­land, 2017.
  4. M. Rößn­er, S. Kahl, K. Engel­mann, and D. Kow­erko, “Prepar­ing clin­i­cal oph­thalmic data for research appli­ca­tion,” in INFORMATIK 2017, Chem­nitz, 2017, pp. 2231–2240.
  5. B. Mey­er-Sick­endiek, H. Hus­sein, and T. Bau­mann, “Rhyth­mi­cal­iz­er,” in INFORMATIK 2017, Chem­nitz, 2017, pp. 2189–2200.
  6. R. Man­they, T. Schloss­er, and D. Kow­erko, “Gen­er­a­tion of Images with Hexag­o­nal Tes­sel­la­tion using Com­mon Dig­i­tal Cam­eras,” in IBS Sci­en­tif­ic Work­shop Pro­ceed­ings, 2017, vol. 4, pp. 47–50.
  7. R. Man­they, M. Rit­ter, M. Heinzig, and D. Kow­erko, “An Explorato­ry Com­par­i­son of the Visu­al Qual­i­ty of Vir­tu­al Real­i­ty Sys­tems Based on Device-Inde­pen­dent Test­sets,” in Vir­tu­al, Aug­ment­ed and Mixed Real­i­ty: 9th Inter­na­tion­al Con­fer­ence, VAMR 2017, Held as Part of HCI Inter­na­tion­al 2017, Van­cou­ver, BC, Cana­da, July 9–14, 2017, Pro­ceed­ings, S. Lack­ey and J. Chen, Eds. Cham: Springer Inter­na­tion­al Pub­lish­ing, 2017, pp. 130–140.
  8. D. Kow­erko, M. Rößn­er, S. Kahl, R. Herms, M. Eibl, and K. Engel­mann, “Auf­bere­itung augen­medi­zinis­ch­er Bild‑, Patien­ten- und Diag­nose­dat­en zum Zwecke der Forschung — Ethikricht­li­nen und deren prak­tis­che Umset­zung,” in Men­sch und Com­put­er 2017 — Work­shop­band, Regens­burg, 2017.
  9. D. Kow­erko, D. Richter, M. Heinzig, S. Kahl, S. Helmert, and G. Brun­nett, “Eval­u­a­tion of CNN-based algo­rithms for human pose analy­sis of per­sons in red car­pet sce­nar­ios,” in INFORMATIK 2017, Chem­nitz, 2017, pp. 2201–2209.
  10. D. Kow­erko, R. Man­they, M. Heinz, T. Kro­n­feld, and G. Brun­nett, “Fast and accu­rate cre­ation of anno­tat­ed head pose image test beds as pre­req­ui­site for train­ing neur­al net­works,” in INFORMATIK 2017, Chem­nitz, 2017, pp. 2221–2229.
  11. D. Kow­erko and S. Kahl, “WS34 — Deep Learn­ing in het­ero­ge­nen Datenbestän­den,” in INFORMATIK 2017, Chem­nitz, 2017, p. 2141.
  12. T. Keller and D. Kow­erko, “A web-based appli­ca­tion  for data visu­al­i­sa­tion and non-lin­ear regres­sion analy­sis includ­ing error cal­cu­la­tion for lab­o­ra­to­ry class­es in nat­ur­al and life sci­ences,” in IBS Sci­en­tif­ic Work­shop Pro­ceed­ings, Ger­many, 2017, vol. 4, pp. 12–15.
  13. S. Kahl et al., “Large-Scale Bird Sound Clas­si­fi­ca­tion using Con­vo­lu­tion­al Neur­al Net­works,” in CEUR Work­shop Pro­ceed­ings (Work­ing Notes of CLEF 2017 — Con­fer­ence and Labs of the Eval­u­a­tion), 2017, vol. 1866, p. accept­ed
  14. S. Kahl et al., “Acoustic Event Clas­si­fi­ca­tion Using Con­vo­lu­tion­al Neur­al Net­works,” in INFORMATIK 2017, Chem­nitz, 2017, pp. 2177–2188.
  15. B. John et al., “Quan­tifi­ca­tion of geo­met­ric prop­er­ties of the melt­ing zone in laser-assist­ed weld­ing,” in Lasers in Man­u­fac­tur­ing Con­fer­ence Pro­ceed­ings, München, 2017, p. accept­ed.
  16. H. Hus­sein et al., “Design of a Lab­o­ra­to­ry for Audio and Video Based Object Local­iza­tion and Track­ing,” in IBS Sci­en­tif­ic Work­shop Pro­ceed­ings, Laubusch, 2017, pp. 28–29.


  • Rosen­thal, Paul; Rit­ter, Marc; Kow­erko, Dan­ny und Heine, Chris­t­ian. „Oph­thalVis — Mak­ing Data Ana­lyt­ics of Opti­cal Coher­ence Tomog­ra­phy Repro­ducible“. In Euro­Vis Work­shop on Repro­ducibil­i­ty, Ver­i­fi­ca­tion, and Val­i­da­tion in Visu­al­iza­tion (EuroRV3), her­aus­gegeben von Kai Lawonn, Mario Hlaw­itsch­ka, und Paul Rosen­thal. Gronin­gen: The Euro­graph­ics Asso­ci­a­tion, 2016. doi:10.2312/eurorv3.20161109. Link
  • Kow­erko, Dan­ny; Rit­ter, Marc; Man­they, Robert; John, Björn & Grimm, Michael: Quan­tifizierung der geometrischen Eigen­schaften von Schmelz­zo­nen bei Laser­schweißprozessen
  • Boern­er, Richard; Kow­erko, Dan­ny; Guiset Mis­er­achs, Hele­na; Schaf­fer, Michelle F. und Sigel, Roland K.O. „Met­al Ion Induced Het­ero­gene­ity in RNA Fold­ing Stud­ied by smFRET“. Coor­di­na­tion Chem­istry Reviews, Juni 2016. doi:10.1016/j.ccr.2016.06.002.
  • Hadz­ic, Mélodie C. A. S.; Kow­erko, Dan­ny; Börn­er, Richard; Zel­ger-Paulus, Susann und Sigel, Roland K. O. . „Detailed analy­sis of com­plex sin­gle mol­e­cule FRET data with the soft­ware MASH“. her­aus­gegeben von Daniel L. Farkas, Dan V. Nico­lau, und Robert C. Leif, 971119, 2016. doi:10.1117/12.2211191.
  • Rit­ter, Marc; Kow­erko, Dan­ny; Hus­sein, Hus­sein; Heinzig, Manuel; Schloss­er, Tobias; Man­they, Robert & Bahr, Gisela Susanne: Sim­pli­fy­ing Acces­si­bil­i­ty With­out Dat­aloss: An Explorato­ry Study on Object Pre­serv­ing Keyframe Culling. In: Uni­ver­sal Access in Human-Com­put­er Inter­ac­tion. Part of Human Com­put­er Inter­ac­tion Inter­na­tion­al (HCII) 2016, At Toron­to, Cana­da, Vol­ume: LNCS, 12 S. [Link]
  • Man­they, Robert; Con­rad, Steve & Rit­ter, Marc: A Frame­work For Gen­er­a­tion of Test­sets for Recent Mul­ti­me­dia Work­flows. In: Uni­ver­sal Access in Human-Com­put­er Inter­ac­tion. Part of Human Com­put­er Inter­ac­tion Inter­na­tion­al (HCII) 2016, Toron­to, Cana­da, Vol­ume: LNCS, 9 S. [Link]
  • Schloss­er, Tobias; Man­they, Robert & Rit­ter, Marc: Entwurf und Imple­men­tierung von Opti­mierungs- und Funk­tion­ser­weiterun­gen der hexag­o­nalen Bil­drasterung in der Videokom­pres­sion­ssoft­ware x264HMod. In:  Tech­nis­che Uni­ver­sität Chem­nitz — Studieren­den­sym­po­sium Infor­matik, At Tech­nis­che Uni­ver­sität Chem­nitz, Chem­nitz, Sax­ony, Ger­many [Link]
  • Keller, Titus; Kow­erko, Dan­ny & Rit­ter, Marc: Entwick­lung eines web­basierten Curve-Fit­ting Tools für kom­plexe Mul­ti­pa­ra­me­ter-Funk­tio­nen. In Studieren­den­sym­po­sium Infor­matik Chem­nitz 2016, At Chem­nitz [Link]
  • Hus­sein, Hus­sein; Rit­ter, Marc; Man­they, Robert; Schloßhauer, Jan; Fabi­an, Eti­enne & Heinzig, Manuel: Acoustic Event Clas­si­fi­ca­tion for Ambi­ent Assist­ed Liv­ing and Health­care Envi­ron­ments. In Kon­feren­z­pa­per auf der 27. Kon­ferenz Elek­tro­n­is­che Sprachsig­nalver­ar­beitung (ESSV) 2016, Leipzig. [Link]


  • Tim­on Ziet­low, Mar­cel Heinz, and Gui­do Brun­nett, Advanced lumi­nance con­trol and black off­set cor­rec­tion for mul­ti-pro­jec­tor dis­play sys­tems. Jour­nal of Vir­tu­al Real­i­ty and Broad­cast­ing, 12(2015), no. 4 [Link]
  • Rit­ter, Marc; Rick­ert, Markus; Jutu­ru Chenchu, Lokesh; Kahl, Ste­fan; Herms, Robert; Hus­sein, Hus­sein; Heinzig, Manuel, Man­they, Robert; Richter, Daniel; Bahr, Gisela Susanne & Eibl, Max­i­m­il­ian: Tech­nis­che Uni­ver­sität Chem­nitz at TRECVID Instance Search 2015. In: TRECVID Work­shop, 16.–18.11.2015, Gaithers­burg, Mary­land, USA, 12 S. [Link@RG][Link@NIST]
  • Herms, Robert; Richter, Daniel; Eibl, Max­i­m­il­ian & Rit­ter, Marc: Unsu­per­vised Lan­guage Mod­el Adap­ta­tion using Utter­ance-based Web Search for Clin­i­cal Speech Recog­ni­tion. In: Work­ing Notes of Con­fer­ence and Labs of the Eval­u­a­tion Forum (CLEF), Toulouse, France, 08.–11.09.2015, 10 S. [Link]
  • Vodel, Matthias & Rit­ter, Marc. Adap­tive Sen­sor Data Fusion for Effi­cient Cli­mate Con­trol Sys­tems. In: Uni­ver­sal Access in Human-Com­put­er Inter­ac­tion. Access to Inter­ac­tion, Part II. Lec­ture Notes in Com­put­er Sci­ence, Nr. 9176. Switzer­land : Springer Inter­na­tion­al Pub­lish­ing. HCI Inter­na­tion­al, Los Ange­les, CA, USA, 02.–07.08.2015, S.582–593. [Link]
  • Rit­ter, Marc; Storz, Michael; Heinzig, Manuel & Eibl, Max­i­m­il­ian. Rapid Mod­el-Dri­ven Anno­ta­tion and Eval­u­a­tion for Object Detec­tion in Videos. In: Uni­ver­sal Access in Human-Com­put­er Inter­ac­tion. Access to Inter­ac­tion, Part I. Lec­ture Notes in Com­put­er Sci­ence, Nr. 9175. Switzer­land : Springer Inter­na­tion­al Pub­lish­ing. HCI Inter­na­tion­al, Los Ange­les, CA, USA, 02.–07.08.2015, S.464–474. [Link]
  • Klinck, Hol­ger & Rit­ter, Marc. Auto­mat­ed iden­ti­fi­ca­tion of blue and fin whale vocal­iza­tions using an ensem­ble-based clas­si­fi­ca­tion sys­tem. In: The 7th Inter­na­tion­al DCLDE [Detec­tion, Clas­si­fi­ca­tion, Local­iza­tion, and Den­si­ty Esti­ma­tion] Work­shop 13.–16.07.2015, La Jol­la, CA, USA, Präsen­ta­tion, 1. Platz bei der Detek­tion von Barten­walen im Nieder­fre­quenzbere­ich. [Link]
  • Rit­ter, Marc & Bahr, Gisela Susanne. An explorato­ry study to iden­ti­fy rel­e­vant cues for the dele­tion of faces for mul­ti­me­dia retrieval. In: IEEE Inter­na­tion­al Con­fer­ence on Mul­ti­me­dia & Expo Work­shops on Human Mem­o­ry-Inspired Mul­ti­me­dia Orga­ni­za­tion and Preser­va­tion, Turin, Italy, 29.06.–03.07.2015, S.1–6. [Link]
  • Heinz, Mar­cel & Brun­nett, Gui­do. Dense Sam­pling of 3D Col­or Trans­fer Func­tions using HDR pho­tog­ra­phy. In: The IEEE Con­fer­ence on Com­put­er Vision and Pat­tern Recog­ni­tion (CVPR) Work­shops, S.25–32. [Link]
  • Bahr, Gisela Susanne; Wood, Stephen & Rit­ter, Marc. Cog­ni­tive Tools for Design Engi­neers: A Frame­work for the Devel­op­ment of Intel­li­gent CAD Sys­tems. In: i‑com 14(2), S.138–146. [Link]
  • Rit­ter, Marc. Towards a Sus­tain­able Frame­work for the Analy­sis of Large Audio­vi­su­al Data Col­lec­tions. In: Pro­ceed­ings of Sym­po­sium on Com­pu­ta­tion­al Sus­tain­abil­li­ty 2014, 27.–29.11.2014, Gör­litz, Sach­sen. LNCS, Springer, 10 S., In press.


  • Rit­ter, Marc ; Heinzig, Manuel ; Herms, Robert ; Kahl, Ste­fan ; Richter, Daniel ; Man­they, Robert & Eibl, Max­i­m­il­ian: Tech­nis­che Uni­ver­sität Chem­nitz at TRECVID Instance Search 2014. In: TRECVID Work­shop, 10.–12.11.2014, Orlan­do, Flori­da, USA, 8 S. [Link]
  • Kahl, Ste­fan; Rit­ter, Marc & Rosen­thal, Paul. Automa­tisierte Beurteilung der Schädi­gungssi­t­u­a­tion bei Patien­ten mit alters­be­d­ingter Maku­lade­gen­er­a­tion (AMD). In: Forum Bild­ver­ar­beitung, 27.–28.11.2014, Regens­burg, Karl­sruhe : KIT Sci­en­tif­ic Pub­lish­ing, S.179–190. [Link]
  • Herms, Robert; Rit­ter, Marc, Wil­helm-Stein, Thomas & Eibl, Max­i­m­il­ian. Improv­ing Spo­ken Doc­u­ment Retrieval by Unsu­per­vised Lan­guage Mod­el Adap­ta­tion Using Utter­ance-Based Web Search. In: INTERSPEECH, 15th Annu­al Con­fer­ence of the Inter­na­tion­al Speech Com­mu­ni­ca­tion Asso­ci­a­tion, Sin­ga­pore, 14.–18.09.2014, S.1430–1433. [Link]
  • Wil­helm-Stein, Thomas; Herms, Robert; Rit­ter, Marc & Eibl, Max­i­m­il­ian. Improv­ing Tran­script-Based Video Retrieval Using Unsu­per­vised Lan­guage Mod­el Adap­ta­tion. In: CLEF, 15.–18.11.2014, Sheffield, UK, Lec­ture Notes in Com­put­er Sci­ence, Nr. 8685, Springer Inter­na­tion­al Pub­lish­ing, S.110–115. [Link]
  • Rit­ter, Marc. Opti­mierung von Algo­rith­men zur Video­analyse : Ein Analy­se­frame­work für die Anforderun­gen lokaler Fernsehsender. In: Wis­senschaftliche Schriften­rei­he Dis­ser­ta­tio­nen der Medi­en­in­for­matik, Nr. 3, Uni­ver­sitätsver­lag der Tech­nis­chen Uni­ver­sität Chem­nitz, 336 S. [Link]



LocalizeIt wird durch das Bundesministerium für Bildung und Forschung BMBF und die BMBF Innovationsinitiative Unternehmen Region von August 2014 bis Juli 2019 gefördert und durch den Projektträger PtJ betreut.


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localizeIT ist ein Projekt der
Stiftungsjuniorprofessur Media Computing und der Professur Medieninformatik der Technischen Universität Chemnitz


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Dr. rer. nat. Danny Kowerko
Tech­ni­sche Uni­ver­si­tät Chem­nitz
Fakul­tät für Infor­ma­tik
Juniorpro­fes­sur Medi­a Computing
Straße der Natio­nen 62
09111 Chemnitz