Abstract: An intelligent video analysis method and system logically selects only surveillance cameras associated with an event and assigns different ranks to the selected surveillance cameras according to the importance thereof. Thereafter, more video analysis resources are assigned to a surveillance camera of high importance, thereby rapidly and efficiently performing video analysis.

Abstract: A method of determining an operation mode of a camera with respect to each of a plurality of time periods includes: obtaining installation environment information of the camera, the information including images obtained by the camera in the plurality of time periods; determining one or more candidate operation modes with respect to each of the plurality of time periods, with reference to the installation environment information of the camera; and determining, as the operation mode of the camera with respect to each of the plurality of time periods, any one of the determined one or more candidate operation modes with respect to the each of the plurality of time periods.

Abstract: An intelligent video analysis method and system logically selects only surveillance cameras associated with an event and assigns different ranks to the selected surveillance cameras according to the importance thereof. Thereafter, more video analysis resources are assigned to a surveillance camera of high importance, thereby rapidly and efficiently performing video analysis.

Abstract: An intelligent video analysis method and system logically selects only surveillance cameras associated with an event and assigns different ranks to the selected surveillance cameras according to the importance thereof. Thereafter, more video analysis resources are assigned to a surveillance camera of high importance, thereby rapidly and efficiently performing video analysis.

Abstract: There is provided a data distribution storing method including: recognizing, by a cluster manager managing a cluster of a plurality of nodes, a vehicle storage installed in a vehicle; transmitting, by the cluster manager, a vehicle index request including identification information about the vehicle storage to an index server; receiving, by the cluster manager, a first vehicle index including information about a first time section during which first vehicle data is recorded in the vehicle storage from the index server; selecting, by the cluster manager, a node from the cluster; transmitting, by the vehicle storage, second vehicle data recorded in the vehicle storage during a second time section which is after the first time section, to the node; generating, by the cluster manager, a second vehicle index based on the first vehicle index and information about the second time section and the node.

Abstract: There is provided a data distribution storing method including: recognizing, by a cluster manager managing a cluster of a plurality of nodes, a vehicle storage installed in a vehicle; transmitting, by the cluster manager, a vehicle index request including identification information about the vehicle storage to an index server; receiving, by the cluster manager, a first vehicle index including information about a first time section during which first vehicle data is recorded in the vehicle storage from the index server; selecting, by the cluster manager, a node from the cluster; transmitting, by the vehicle storage, second vehicle data recorded in the vehicle storage during a second time section which is after the first time section, to the node; generating, by the cluster manager, a second vehicle index based on the first vehicle index and information about the second time section and the node.

Abstract: There is provided a data distribution storing method including: recognizing, by a cluster manager managing a cluster of a plurality of nodes, a vehicle storage installed in a vehicle; transmitting, by the cluster manager, a vehicle index request including identification information about the vehicle storage to an index server; receiving, by the cluster manager, a first vehicle index including information about a first time section during which first vehicle data is recorded in the vehicle storage from the index server; selecting, by the cluster manager, a node from the cluster; transmitting, by the vehicle storage, second vehicle data recorded in the vehicle storage during a second time section which is after the first time section, to the node; generating, by the cluster manager, a second vehicle index based on the first vehicle index and information about the second time section and the node.

Abstract: A method of determining an operation mode of a camera with respect to each of a plurality of time periods includes: obtaining installation environment information of the camera, the information including images obtained by the camera in the plurality of time periods; determining one or more candidate operation modes with respect to each of the plurality of time periods, with reference to the installation environment information of the camera; and determining, as the operation mode of the camera with respect to each of the plurality of time periods, any one of the determined one or more candidate operation modes with respect to the each of the plurality of time periods.

Abstract: An intelligent video analysis method and system logically selects only surveillance cameras associated with an event and assigns different ranks to the selected surveillance cameras according to the importance thereof. Thereafter, more video analysis resources are assigned to a surveillance camera of high importance, thereby rapidly and efficiently performing video analysis.