With the advent of lifelogging cameras the amount of personal video material is massively growing to an extent that easily overwhelms the user. To efficiently review lifelog data, we need well designed video navigation tools. In this paper, we analyze which cues are most beneficial for lifelog video navigation. We show that the information kind determines the most appropriate cue in single cue systems, but that multicue approaches are more appreciated. These findings can inspire to design video players with multiple navigation cues, including time, place, persons, and events for easier and more efficient lifelog video retrieval
Lifelogging technologies can capture both mundane and important experiences in our daily lives, resu...
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My L...
The Video History System (VHS) manages a user’s personal viewing history and provides mechanisms for...
Due to increasing possibilities to create digital video, we are facing the emergence of large video ...
Due to increasing possibilities to create digital video, we are facing the emergence of large video ...
Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideal...
Lifelogging is an area of research which is concerned with the capture of many aspects of an individ...
Human memory is a dynamic system which makes accessible certain memories of events based on a hierar...
This paper refers to research in the domain of visual lifelogging, whereby individuals capture much ...
The practice of lifelogging potentially consists of automatically capturing and storing a digital re...
Due to the rise of lifelog cameras, we have personal video data that is too large to be watched. Vid...
A device such as the Microsoft SenseCam shall accumulate an average of 650,000 images per year (take...
Lifelogging, the automatic and ambient capture of daily life activities into a digital archive calle...
Lifelogging technologies can capture both mundane and important experiences in our daily lives, resu...
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My L...
Lifelogging technologies can capture both mundane and important experiences in our daily lives, resu...
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My L...
The Video History System (VHS) manages a user’s personal viewing history and provides mechanisms for...
Due to increasing possibilities to create digital video, we are facing the emergence of large video ...
Due to increasing possibilities to create digital video, we are facing the emergence of large video ...
Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideal...
Lifelogging is an area of research which is concerned with the capture of many aspects of an individ...
Human memory is a dynamic system which makes accessible certain memories of events based on a hierar...
This paper refers to research in the domain of visual lifelogging, whereby individuals capture much ...
The practice of lifelogging potentially consists of automatically capturing and storing a digital re...
Due to the rise of lifelog cameras, we have personal video data that is too large to be watched. Vid...
A device such as the Microsoft SenseCam shall accumulate an average of 650,000 images per year (take...
Lifelogging, the automatic and ambient capture of daily life activities into a digital archive calle...
Lifelogging technologies can capture both mundane and important experiences in our daily lives, resu...
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My L...
Lifelogging technologies can capture both mundane and important experiences in our daily lives, resu...
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My L...
The Video History System (VHS) manages a user’s personal viewing history and provides mechanisms for...