[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-03。"],[],[],null,["# Shot change detection\n\nBy default, the Video Intelligence API examines a video, or video segments, by frame.\nThat is, each complete picture in the series that forms the video is examined.\nYou can also have Video Intelligence annotate a video, or video segment,\naccording to each shot that it detects in the input video.\n\n*Shot change detection* annotates a video with video segments that are generated\nwhen detecting abrupt shot changes in the video. In the output annotation, the\nbeginning frame of each video segment indicates an abrupt shot change (i.e.,\nthe frames before and after that frame are visually different).\n\nTo detect shot changes in a video, call the\n[`annotate`](/video-intelligence/docs/reference/rest/v1/videos/annotate)\nmethod and specify\n[`SHOT_CHANGE_DETECTION`](/video-intelligence/docs/reference/rest/v1/videos#Feature)\nin the `features` field.\n\nCheck out the [Video Intelligence API visualizer](https://zackakil.github.io/video-intelligence-api-visualiser/#Shot%20Detection) to see this feature in action.\n\nFor examples, see\n[Analyzing Videos for Shot Changes](/video-intelligence/docs/analyze-shots) and\nthe [Shot Change Detection Tutorial](/video-intelligence/docs/shot_detection)."]]