A method includes: collecting data about a first event at a first physical space using a first electronic monitoring device that is physically located at the first physical space, enabling the collected data to be displayed at a computer-based user interface device (e.g., at a user's a smartphone that may be remotely located relative to the first electronic monitoring device), enabling the user to describe, using the computer-based user interface device, the first event represented by the collected data, and storing, in a computer-based memory, a logical association between the user's description of the first event and one or more characteristics of the collected data.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: collecting data about a first event at a first physical space using a first electronic monitoring device that is physically located at the first physical space; enabling the collected data to be displayed at a computer-based user interface device; enabling a user to describe, using the computer-based user interface device, the first event represented by the collected data; and storing, in a computer-based memory, a logical association between the user's description of the first event and one or more characteristics of the collected data. 2. The method of claim 1 comprising: collecting data about a second event at the first physical space using the first electronic monitoring device; and determining if the data collected about the second event is similar to the data collected about the first event. 3. The method of claim 2, wherein if the data collected about the second event is determined to be similar to the data collected about the first event, then tailoring a response to the second event in view of the user's description of the first event. 4. The method of claim 3, wherein tailoring the response to the second event comprises: including a user-directed message with a user communication about the second event utilizing information from the user's description of the first event. 5. The method of claim 2, wherein determining if the data collected about the second event is similar to the data collected about the first event comprises applying one or more metric learning or similarity learning techniques. 6. The method of claim 1 comprising: collecting data about a second event at a second physical space using a second electronic monitoring device; and determining if the data collected about the second event at the second physical space is similar to the data collected about the first event at the first physical space, wherein if the data collected about the second event at the second physical space is determined to be similar to the data collected about the first event at the first physical space, then tailoring a response to the second event at the second physical space in view of the user's description of the first event at the first physical space. 7. The method of claim 1, wherein the first electronic monitoring device comprises a video camera and the collected data comprises a video clip of the physical space. 8. The method of claim 7, wherein enabling the collected data to be displayed at the computer-based user interface device comprises presenting a version of the video clip at the computer-based user interface device. 9. The method of claim 7, wherein enabling a user to describe the first event represented by the collected data comprises: prompting the user to identify, using the computer-based user interface device, one or more elements that the video clip contains. 10. The method of claim 9, wherein prompting the user to identify what is shown in the video clip comprises: providing, at the computer-based user interface device, a list of items, from which the user can select one or more that the video clip contains, and/or enabling the user to enter a written description of what the video clip contains. 11. The method of claim 10, wherein the list of items is accessible by selecting a button presented at the computer-based user interface device in association with the video clip. 12. The method of claim 7, wherein the collected data further comprises non-video data. 13. The method of claim 1, wherein each of the one or more characteristics of the collected data is a characteristic selected from the group consisting of: motion, object size, object shape, speed and acceleration. 14. The method of claim 1, wherein the collected data is relevant to security or safety in the physical space. 15. The method of claim 1, wherein the user owns or resides at the monitored physical space. 16. The method of claim 1, wherein the computer-based user interface device is a smartphone. 17. A system comprising: a first monitoring device physically located in a first physical space; a security processing system coupled to the first monitoring device via a computer-based network; and a computer-based user interface device coupled, via the computer-based network, to the security/safety monitoring device, wherein the system is configured to: collect data about a first event at a physical space using the first monitoring device that is physically located at the first physical space; enable the collected data to be displayed at the computer-based user interface device; enable a user to describe, using the computer-based user interface device, the first event represented by the collected data; and store, in a computer-based memory, a logical association between the user's description of the first event and one or more characteristics of the collected data. 18. The system of claim 17 wherein: the first monitoring device is configured to collect data about a second event at the first physical space; and the security processing system is configured to determine if the data collected about the second event is similar to the data collected about the first event. 19. The system of claim 18, wherein if the data collected about the second event is determined to be similar to the data collected about the first event, the security processing system tailors a response to the second event in view of the user's description of the first event. 20. The system of claim 19, wherein tailoring the response to the second event comprises: including a user-directed message with a user communication about the second event utilizing information from the user's description of the first event. 21. The system of claim 19, wherein determining if the data collected about the second event is similar to the data collected about the first event comprises applying one or more metric learning or similarity learning techniques. 22. The system of claim 17 further comprising: a second electronic monitoring device at a second physical space, wherein the system is configured to: collect data about a second event at a second physical space using a second electronic monitoring device; and determine if the data collected about the second event at the second physical space is similar to the data collected about the first event at the first physical space, wherein if the data collected about the second event at the second physical space is determined to be similar to the data collected about the first event at the first physical space, then tailor a response to the second event at the second physical space in view of the user's description of the first event at the first physical space. 23. The system of claim 17, wherein the first electronic monitoring device comprises a video camera and the collected data comprises a video clip of the first physical space. 24. The system of claim 23, wherein enabling the collected data to be displayed at the computer-based user interface device comprises presenting a version of the video clip at the computer-based user interface device. 25. The system of claim 23, wherein enabling the user to describe the first event represented by the collected data comprises: prompting the user, at the user-interface device, to identify one or more elements that the video clip contains. 26. The system of claim 25, wherein prompting the user to identify what is shown in the video clip comprises: providing, at the computer-based user interface device, a list of items, from which the user can select one or more that the video clip contains, and/or enabling the user to enter a written description of what the video clip contains. 27. The system of claim 26, wherein the list of items is accessible by selecting a button presented at the computer-based user interface device in association with the video clip. 28. The system of claim 23, wherein the collected data further comprises non-video data. 29. The system of claim 17, wherein each of the one or more characteristics of the collected data is a characteristic selected from the group consisting of: motion, object size, object shape, speed and acceleration. 30. The system of claim 17, wherein the collected data is relevant to security or safety in the physical space. 31. The system of claim 17, wherein the user owns or resides at the monitored first physical space. 32. The system of claim 17, wherein the computer-based user interface device is a smartphone. 33. A non-transitory, computer-readable medium that stores instructions executable by a processor to perform the steps comprising: collecting data about a first event at a first physical space using a first electronic monitoring device that is physically located at the first physical space; enabling the collected data to be displayed at a computer-based user interface device; enabling a user to describe, using the computer-based user interface device, the first event represented by the collected data; and storing, in a computer-based memory, a logical association between the user's description of the first event and one or more characteristics of the collected data. 34. The non-transitory, computer-readable medium of claim 33 storing instructions executable by a processor to further perform the steps comprising of: collecting data about a second event at the first physical space using the first electronic monitoring device; and determining if the data collected about the second event is similar to the data collected about the first event. 35. The non-transitory, computer-readable medium of claim 33 storing instructions executable by a processor to further perform the steps comprising of: if the data collected about the second event is determined to be similar to the data collected about the first event, then tailoring a response to the second event in view of the user's description of the first event. 36. The non-transitory, computer-readable medium of claim 33, wherein determining if the data collected about the second event is similar to the data collected about the first event comprises applying one or more metric learning or similarity learning techniques. 37. The non-transitory, computer-readable medium of claim 33 that further stores instructions executable by the processor to perform the steps comprising: collecting data about a second event at a second physical space using a second electronic monitoring device; and determining if the data collected about the second event at the second physical space is similar to the data collected about the first event at the first physical space, wherein if the data collected about the second event at the second physical space is determined to be similar to the data collected about the first event at the first physical space, then tailoring a response to the second event at the second physical space in view of the user's description of the first event at the first physical space.