import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { GetSegmentDetectionRequest, GetSegmentDetectionResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link GetSegmentDetectionCommand}.
 */
export interface GetSegmentDetectionCommandInput extends GetSegmentDetectionRequest {
}
/**
 * @public
 *
 * The output of {@link GetSegmentDetectionCommand}.
 */
export interface GetSegmentDetectionCommandOutput extends GetSegmentDetectionResponse, __MetadataBearer {
}
declare const GetSegmentDetectionCommand_base: {
    new (input: GetSegmentDetectionCommandInput): import("@smithy/core/client").CommandImpl<GetSegmentDetectionCommandInput, GetSegmentDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: GetSegmentDetectionCommandInput): import("@smithy/core/client").CommandImpl<GetSegmentDetectionCommandInput, GetSegmentDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Gets the segment detection results of a Amazon Rekognition Video analysis started by <a>StartSegmentDetection</a>.</p>
 *          <p>Segment detection with Amazon Rekognition Video is an asynchronous operation. You start segment detection by
 *       calling <a>StartSegmentDetection</a> which returns a job identifier (<code>JobId</code>).
 *       When the segment detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service
 *       topic registered in the initial call to <code>StartSegmentDetection</code>. To get the results
 *       of the segment detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>.
 *       if so, call <code>GetSegmentDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call
 *       of <code>StartSegmentDetection</code>.</p>
 *          <p>
 *             <code>GetSegmentDetection</code> returns detected segments in an array (<code>Segments</code>)
 *       of <a>SegmentDetection</a> objects. <code>Segments</code> is sorted by the segment types
 *       specified in the <code>SegmentTypes</code> input parameter of <code>StartSegmentDetection</code>.
 *     Each element of the array includes the detected segment, the precentage confidence in the acuracy
 *       of the detected segment, the type of the segment, and the frame in which the segment was detected.</p>
 *          <p>Use <code>SelectedSegmentTypes</code> to find out the type of segment detection requested in the
 *     call to <code>StartSegmentDetection</code>.</p>
 *          <p>Use the <code>MaxResults</code> parameter to limit the number of segment detections returned. If there are more results than
 *       specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains
 *       a pagination token for getting the next set of results. To get the next page of results, call <code>GetSegmentDetection</code>
 *       and populate the <code>NextToken</code> request parameter with the token value returned from the previous
 *       call to <code>GetSegmentDetection</code>.</p>
 *          <p>For more information, see Detecting video segments in stored video in the Amazon Rekognition Developer Guide.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, GetSegmentDetectionCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, GetSegmentDetectionCommand } = require("@aws-sdk/client-rekognition"); // CommonJS import
 * // import type { RekognitionClientConfig } from "@aws-sdk/client-rekognition";
 * const config = {}; // type is RekognitionClientConfig
 * const client = new RekognitionClient(config);
 * const input = { // GetSegmentDetectionRequest
 *   JobId: "STRING_VALUE", // required
 *   MaxResults: Number("int"),
 *   NextToken: "STRING_VALUE",
 * };
 * const command = new GetSegmentDetectionCommand(input);
 * const response = await client.send(command);
 * // { // GetSegmentDetectionResponse
 * //   JobStatus: "IN_PROGRESS" || "SUCCEEDED" || "FAILED",
 * //   StatusMessage: "STRING_VALUE",
 * //   VideoMetadata: [ // VideoMetadataList
 * //     { // VideoMetadata
 * //       Codec: "STRING_VALUE",
 * //       DurationMillis: Number("long"),
 * //       Format: "STRING_VALUE",
 * //       FrameRate: Number("float"),
 * //       FrameHeight: Number("long"),
 * //       FrameWidth: Number("long"),
 * //       ColorRange: "FULL" || "LIMITED",
 * //     },
 * //   ],
 * //   AudioMetadata: [ // AudioMetadataList
 * //     { // AudioMetadata
 * //       Codec: "STRING_VALUE",
 * //       DurationMillis: Number("long"),
 * //       SampleRate: Number("long"),
 * //       NumberOfChannels: Number("long"),
 * //     },
 * //   ],
 * //   NextToken: "STRING_VALUE",
 * //   Segments: [ // SegmentDetections
 * //     { // SegmentDetection
 * //       Type: "TECHNICAL_CUE" || "SHOT",
 * //       StartTimestampMillis: Number("long"),
 * //       EndTimestampMillis: Number("long"),
 * //       DurationMillis: Number("long"),
 * //       StartTimecodeSMPTE: "STRING_VALUE",
 * //       EndTimecodeSMPTE: "STRING_VALUE",
 * //       DurationSMPTE: "STRING_VALUE",
 * //       TechnicalCueSegment: { // TechnicalCueSegment
 * //         Type: "ColorBars" || "EndCredits" || "BlackFrames" || "OpeningCredits" || "StudioLogo" || "Slate" || "Content",
 * //         Confidence: Number("float"),
 * //       },
 * //       ShotSegment: { // ShotSegment
 * //         Index: Number("long"),
 * //         Confidence: Number("float"),
 * //       },
 * //       StartFrameNumber: Number("long"),
 * //       EndFrameNumber: Number("long"),
 * //       DurationFrames: Number("long"),
 * //     },
 * //   ],
 * //   SelectedSegmentTypes: [ // SegmentTypesInfo
 * //     { // SegmentTypeInfo
 * //       Type: "TECHNICAL_CUE" || "SHOT",
 * //       ModelVersion: "STRING_VALUE",
 * //     },
 * //   ],
 * //   JobId: "STRING_VALUE",
 * //   Video: { // Video
 * //     S3Object: { // S3Object
 * //       Bucket: "STRING_VALUE",
 * //       Name: "STRING_VALUE",
 * //       Version: "STRING_VALUE",
 * //     },
 * //   },
 * //   JobTag: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param GetSegmentDetectionCommandInput - {@link GetSegmentDetectionCommandInput}
 * @returns {@link GetSegmentDetectionCommandOutput}
 * @see {@link GetSegmentDetectionCommandInput} for command's `input` shape.
 * @see {@link GetSegmentDetectionCommandOutput} for command's `response` shape.
 * @see {@link RekognitionClientResolvedConfig | config} for RekognitionClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>You are not authorized to perform the action.</p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidPaginationTokenException} (client fault)
 *  <p>Pagination token in the request is not valid.</p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>Input parameter violated a constraint. Validate your parameter before calling the API
 *       operation again.</p>
 *
 * @throws {@link ProvisionedThroughputExceededException} (client fault)
 *  <p>The number of requests exceeded your throughput limit. If you want to increase this
 *       limit, contact Amazon Rekognition.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>The resource specified in the request cannot be found.</p>
 *
 * @throws {@link ThrottlingException} (server fault)
 *  <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link RekognitionServiceException}
 * <p>Base exception class for all service exceptions from Rekognition service.</p>
 *
 *
 * @public
 */
export declare class GetSegmentDetectionCommand extends GetSegmentDetectionCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: GetSegmentDetectionRequest;
            output: GetSegmentDetectionResponse;
        };
        sdk: {
            input: GetSegmentDetectionCommandInput;
            output: GetSegmentDetectionCommandOutput;
        };
    };
}