Modelování a simulace scénářů hledání známé scény ve videu
| Thesis title in Czech: | Modelování a simulace scénářů hledání známé scény ve videu |
|---|---|
| Thesis title in English: | Modeling and simulations of video known-item search scenarios |
| Key words: | hledání ve videu, hluboké učení, podobnostní hledání, simulace |
| English key words: | video retrieval, deep learning, similarity search, simulations |
| Academic year of topic announcement: | 2017/2018 |
| Thesis type: | diploma thesis |
| Thesis language: | čeština |
| Department: | Department of Software Engineering (32-KSI) |
| Supervisor: | doc. RNDr. Jakub Lokoč, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 27.09.2018 |
| Date of assignment: | 27.09.2018 |
| Confirmed by Study dept. on: | 30.11.2018 |
| Guidelines |
| The goal of the thesis is to design a framework addressing effectiveness of known-item search process in a given heterogeneous video collection. The framework will consider known-item search initialization, similarity search with relevance feedback and automatic evaluation of various search scenarios using simulations. |
| References |
| Lokoč, J., et al.: On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015-2017, IEEE Transactions on Multimedia, in press. ISSN: 1520-9210.
Maxwell et al. Agents, Simulated Users and Humans: An Analysis of Performance and Behaviour, Proceedings of the 25th ACM Int. on Conference on Information and Knowledge Management, ACM, 2016 M. Ferecatu and D. Geman. A statistical framework for image category search from a mental picture. IEEE Trans. on Pattern Analysis and Machine Intelligence, 31(6):1087– 1101, 2009 Schoeffmann K, Hudelist MA, Huber J (2015) Video interaction tools: a survey of recent work. ACM Comput Surv 1–36 Jun He, Xindi Shang, Hanwang ZhangTat-Seng Chua: Mental Visual Browsing, International Conference on Multimedia Modeling 2016, pages 424-428 |