{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T02:32:05Z","timestamp":1783823525905,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819620739","type":"print"},{"value":"9789819620746","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-2074-6_32","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T11:10:31Z","timestamp":1735643431000},"page":"272-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Feature-Driven Video Segmentation and Advanced Querying with vitrivr-Engine"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5389-9465","authenticated-orcid":false,"given":"Luca","family":"Rossetto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3016-1396","authenticated-orcid":false,"given":"Ralph","family":"Gasser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,1]]},"reference":[{"key":"32_CR1","doi-asserted-by":"publisher","unstructured":"Gasser, R., Arnold, R., Faber, F., Schuldt, H., Waltensp\u00fcl, R., Rossetto, L.: A new retrieval engine for vitrivr. In: Rudinac, S., et al. (eds.) MultiMedia Modeling - 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part IV. Lecture Notes in Computer Science, vol. 14557, pp. 324\u2013331. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-53302-0_28","DOI":"10.1007\/978-3-031-53302-0_28"},{"key":"32_CR2","doi-asserted-by":"publisher","unstructured":"Gasser, R., Rossetto, L., Heller, S., Schuldt, H.: Cottontail DB: an open source database system for multimedia retrieval and analysis. In: Chen, C.W., Cucchiara, R., Hua, X., Qi, G., Ricci, E., Zhang, Z., Zimmermann, R. (eds.) MM \u201920: The 28th ACM International Conference on Multimedia, Virtual Event \/ Seattle, WA, USA, October 12-16, 2020, pp. 4465\u20134468. ACM (2020). https:\/\/doi.org\/10.1145\/3394171.3414538","DOI":"10.1145\/3394171.3414538"},{"key":"32_CR3","unstructured":"Gasser, R., Rossetto, L., Schuldt, H.: Towards an all-purpose content-based multimedia information retrieval system. CoRR abs\/1902.03878 (2019). http:\/\/arxiv.org\/abs\/1902.03878"},{"key":"32_CR4","doi-asserted-by":"publisher","unstructured":"Gurrin, C., et al.: Introduction to the seventh annual lifelog search challenge, lsc\u201924. In: Gurrin, C., et al. (eds.) Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024, pp. 1334\u20131335. ACM (2024). https:\/\/doi.org\/10.1145\/3652583.3658891","DOI":"10.1145\/3652583.3658891"},{"issue":"4","key":"32_CR5","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TPAMI.2018.2889473","volume":"42","author":"YA Malkov","year":"2020","unstructured":"Malkov, Y.A., Yashunin, D.A.: Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs. IEEE Trans. Pattern Anal. Mach. Intell. 42(4), 824\u2013836 (2020). https:\/\/doi.org\/10.1109\/TPAMI.2018.2889473","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"32_CR6","doi-asserted-by":"publisher","unstructured":"Mallia, A., Khattab, O., Suel, T., Tonellotto, N.: Learning passage impacts for inverted indexes. In: Diaz, F., Shah, C., Suel, T., Castells, P., Jones, R., Sakai, T. (eds.) SIGIR \u201921: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, pp. 1723\u20131727. ACM (2021). https:\/\/doi.org\/10.1145\/3404835.3463030","DOI":"10.1145\/3404835.3463030"},{"key":"32_CR7","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Proceedings of Machine Learning Research, vol.\u00a0139, pp. 8748\u20138763. PMLR (2021). http:\/\/proceedings.mlr.press\/v139\/radford21a.html"},{"key":"32_CR8","doi-asserted-by":"publisher","unstructured":"Ragnarsd\u00f3ttir, H., et al.: Exquisitor: breaking the interaction barrier for exploration of 100 million images. In: Amsaleg, L., Huet, B., Larson, M.A., Gravier, G., Hung, H., Ngo, C., Ooi, W.T. (eds.) Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, Nice, France, October 21-25, 2019, pp. 1029\u20131031. ACM (2019). https:\/\/doi.org\/10.1145\/3343031.3350580","DOI":"10.1145\/3343031.3350580"},{"key":"32_CR9","doi-asserted-by":"publisher","unstructured":"Rossetto, L., Giangreco, I., Schuldt, H.: Cineast: a multi-feature sketch-based video retrieval engine. In: 2014 IEEE International Symposium on Multimedia, ISM 2014, Taichung, Taiwan, December 10-12, 2014, pp. 18\u201323. IEEE Computer Society (2014). https:\/\/doi.org\/10.1109\/ISM.2014.38","DOI":"10.1109\/ISM.2014.38"},{"key":"32_CR10","doi-asserted-by":"publisher","unstructured":"Rossetto, L., Schuldt, H., Awad, G., Butt, A.A.: V3C - a research video collection. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, W., Vrochidis, S. (eds.) MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8-11, 2019, Proceedings, Part I. Lecture Notes in Computer Science, vol. 11295, pp. 349\u2013360. Springer (2019). https:\/\/doi.org\/10.1007\/978-3-030-05710-7_29","DOI":"10.1007\/978-3-030-05710-7_29"},{"key":"32_CR11","doi-asserted-by":"publisher","unstructured":"Sauter, L., Gasser, R., Rettig, L., Schuldt, H., Rossetto, L.: General purpose multimedia retrieval with vitrivr at lsc\u201924. In: Proceedings of the 7th Annual ACM Workshop on the Lifelog Search Challenge, LSC 2024, Phuket, Thailand, 10 June 2024, pp. 47\u201352. ACM (2024). https:\/\/doi.org\/10.1145\/3643489.3661120","DOI":"10.1145\/3643489.3661120"},{"key":"32_CR12","doi-asserted-by":"publisher","unstructured":"Sauter, L., Schuldt, H., Waltensp\u00fcl, R., Rossetto, L.: Novice-friendly text-based video search with vitrivr. In: Chetouani, A., Bailer, W., Gurrin, C., Beno\u00eet, A. (eds.) 20th International Conference on Content-based Multimedia Indexing, CBMI 2023, Orleans, France, September 20-22, 2023, pp. 163\u2013167. ACM (2023). https:\/\/doi.org\/10.1145\/3617233.3617262","DOI":"10.1145\/3617233.3617262"},{"key":"32_CR13","unstructured":"Soucek, T., Lokoc, J.: TransNet V2: an effective deep network architecture for fast shot transition detection. CoRR abs\/2008.04838 (2020). https:\/\/arxiv.org\/abs\/2008.04838"},{"key":"32_CR14","unstructured":"Subramanya, S.J., Devvrit, Simhadri, H.V., Krishnaswamy, R., Kadekodi, R.: Rand-NSG: fast accurate billion-point nearest neighbor search on a single node. In: Wallach, H.M., Larochelle, H., Beygelzimer, A., d\u2019Alch\u00e9-Buc, F., Fox, E.B., Garnett, R. (eds.) Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, pp. 13748\u201313758 (2019). https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/09853c7fb1d3f8ee67a61b6bf4a7f8e6-Abstract.html"},{"key":"32_CR15","doi-asserted-by":"publisher","unstructured":"Truong, Q., et al.: Marine video kit: a new marine video dataset for content-based analysis and retrieval. In: Dang-Nguyen, D., Gurrin, C., Larson, M.A., Smeaton, A.F., Rudinac, S., Dao, M., Trattner, C., Chen, P. (eds.) MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science, vol. 13833, pp. 539\u2013550. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-27077-2_42","DOI":"10.1007\/978-3-031-27077-2_42"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-2074-6_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T17:19:27Z","timestamp":1779815967000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-2074-6_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819620739","9789819620746"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-2074-6_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 January 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2025.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}