import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { StartLabelDetectionRequest, StartLabelDetectionResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link StartLabelDetectionCommand}.
 */
export interface StartLabelDetectionCommandInput extends StartLabelDetectionRequest {
}
/**
 * @public
 *
 * The output of {@link StartLabelDetectionCommand}.
 */
export interface StartLabelDetectionCommandOutput extends StartLabelDetectionResponse, __MetadataBearer {
}
declare const StartLabelDetectionCommand_base: {
    new (input: StartLabelDetectionCommandInput): import("@smithy/core/client").CommandImpl<StartLabelDetectionCommandInput, StartLabelDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: StartLabelDetectionCommandInput): import("@smithy/core/client").CommandImpl<StartLabelDetectionCommandInput, StartLabelDetectionCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Starts asynchronous detection of labels in a stored video.</p>
 *          <p>Amazon Rekognition Video can detect labels in a video. Labels are instances of real-world entities.
 *        This includes objects like flower, tree, and table; events like
 *        wedding, graduation, and birthday party; concepts like landscape, evening, and nature; and activities
 *        like a person getting out of a car or a person skiing.</p>
 *          <p>The video must be stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name
 *        and the filename of the video.
 *         <code>StartLabelDetection</code> returns a job identifier (<code>JobId</code>) which you use to get the
 *        results of the operation. When label detection is finished, Amazon Rekognition Video publishes a completion status
 *         to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>.</p>
 *          <p>To get the results of the label detection operation, first check that the status value published to the Amazon SNS
 *         topic is <code>SUCCEEDED</code>. If so, call  <a>GetLabelDetection</a> and pass the job identifier
 *        (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>.</p>
 *          <p>
 *             <i>Optional Parameters</i>
 *          </p>
 *          <p>
 *             <code>StartLabelDetection</code> has the <code>GENERAL_LABELS</code> Feature applied by
 *       default.  This feature allows you to provide filtering criteria to the <code>Settings</code>
 *       parameter. You can filter with sets of individual labels or with label categories. You can
 *       specify inclusive filters, exclusive filters, or a combination of inclusive and exclusive
 *       filters. For more information on filtering, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/labels-detecting-labels-video.html">Detecting labels in a
 *         video</a>.</p>
 *          <p>You can specify <code>MinConfidence</code> to control the confidence threshold for the
 *       labels returned. The default is 50.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, StartLabelDetectionCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, StartLabelDetectionCommand } = 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 = { // StartLabelDetectionRequest
 *   Video: { // Video
 *     S3Object: { // S3Object
 *       Bucket: "STRING_VALUE",
 *       Name: "STRING_VALUE",
 *       Version: "STRING_VALUE",
 *     },
 *   },
 *   ClientRequestToken: "STRING_VALUE",
 *   MinConfidence: Number("float"),
 *   NotificationChannel: { // NotificationChannel
 *     SNSTopicArn: "STRING_VALUE", // required
 *     RoleArn: "STRING_VALUE", // required
 *   },
 *   JobTag: "STRING_VALUE",
 *   Features: [ // LabelDetectionFeatureList
 *     "GENERAL_LABELS",
 *   ],
 *   Settings: { // LabelDetectionSettings
 *     GeneralLabels: { // GeneralLabelsSettings
 *       LabelInclusionFilters: [ // GeneralLabelsFilterList
 *         "STRING_VALUE",
 *       ],
 *       LabelExclusionFilters: [
 *         "STRING_VALUE",
 *       ],
 *       LabelCategoryInclusionFilters: [
 *         "STRING_VALUE",
 *       ],
 *       LabelCategoryExclusionFilters: [
 *         "STRING_VALUE",
 *       ],
 *     },
 *   },
 * };
 * const command = new StartLabelDetectionCommand(input);
 * const response = await client.send(command);
 * // { // StartLabelDetectionResponse
 * //   JobId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param StartLabelDetectionCommandInput - {@link StartLabelDetectionCommandInput}
 * @returns {@link StartLabelDetectionCommandOutput}
 * @see {@link StartLabelDetectionCommandInput} for command's `input` shape.
 * @see {@link StartLabelDetectionCommandOutput} 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 IdempotentParameterMismatchException} (client fault)
 *  <p>A <code>ClientRequestToken</code> input parameter was reused with an operation, but at least one of the other input
 *         parameters is different from the previous call to the operation.</p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>Input parameter violated a constraint. Validate your parameter before calling the API
 *       operation again.</p>
 *
 * @throws {@link InvalidS3ObjectException} (client fault)
 *  <p>Amazon Rekognition is unable to access the S3 object specified in the request.</p>
 *
 * @throws {@link LimitExceededException} (client fault)
 *  <p>An Amazon Rekognition service limit was exceeded. For example, if you start too many jobs
 *             concurrently, subsequent calls to start operations (ex:
 *             <code>StartLabelDetection</code>) will raise a <code>LimitExceededException</code>
 *             exception (HTTP status code: 400) until the number of concurrently running jobs is below
 *             the Amazon Rekognition service limit. </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 ThrottlingException} (server fault)
 *  <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link VideoTooLargeException} (client fault)
 *  <p>The file size or duration of the supplied media is too large. The maximum file size is 10GB.
 *         The maximum duration is 6 hours. </p>
 *
 * @throws {@link RekognitionServiceException}
 * <p>Base exception class for all service exceptions from Rekognition service.</p>
 *
 *
 * @public
 */
export declare class StartLabelDetectionCommand extends StartLabelDetectionCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartLabelDetectionRequest;
            output: StartLabelDetectionResponse;
        };
        sdk: {
            input: StartLabelDetectionCommandInput;
            output: StartLabelDetectionCommandOutput;
        };
    };
}