A representative-based framework for parsing and summarizing events in surveillance videos
| Autor: | Bo Zhang, Weiyao Lin, Michael Ying Yang, Tao Mei, Chia-Wen Lin, Chuanfei Luo, Zhen Ju |
|---|---|
| Přispěvatelé: | Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Parsing
Noise measurement business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Pattern recognition 02 engineering and technology computer.software_genre Blob detection Automatic summarization 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Data mining business Cluster analysis computer |
| Zdroj: | 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016, 1-6 STARTPAGE=1;ENDPAGE=6;TITLE=2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 ICME Workshops |
| Popis: | This paper presents a novel representative-based framework for parsing and summarizing events in long surveillance videos. The proposed framework first extracts object blob sequences and utilizes them to represent events in a surveillance video. Then, a sequence filtering strategy is introduced which detects and eliminates noisy blob sequences based on their spatial and temporal characteristics. After clustering the blob sequences into different event types, we further introduce a representative-based model which integrates location, size, and appearance cues to select a representative blob sequence from each cluster, and creates a snapshot image for each representative blob sequence. Based on the blob-sequence clustering and representative-sequence selection results, two schemes are further proposed to summarize contents of the input surveillance video: (1) type-based scheme which shows snapshot images to users and creates a summary video for a specific event cluster according to user-selected snapshot image; (2) representative-based scheme which creates a summary video only with the extracted representative blob sequences. Experimental results show that our approach can create more effective and well-organized summarization results compared with the state-of-the-art methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|