Predicting visual context for unsupervised event segmentation in continuous photo-streams

• Main Authors: DEL MOLINO, Ana García, LIM, Joo-Hwee, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Lifelogging; Event Segmentation; Visual Context Prediction; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/5466; https://ink.library.smu.edu.sg/context/sis_research/article/6469/viewcontent/1808.02289.pdf
• Institution: Singapore Management University

Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization. Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual fe...