import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { StartContentModerationRequest, StartContentModerationResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link StartContentModerationCommand}.
 */
export interface StartContentModerationCommandInput extends StartContentModerationRequest {
}
/**
 * @public
 *
 * The output of {@link StartContentModerationCommand}.
 */
export interface StartContentModerationCommandOutput extends StartContentModerationResponse, __MetadataBearer {
}
declare const StartContentModerationCommand_base: {
    new (input: StartContentModerationCommandInput): import("@smithy/core/client").CommandImpl<StartContentModerationCommandInput, StartContentModerationCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: StartContentModerationCommandInput): import("@smithy/core/client").CommandImpl<StartContentModerationCommandInput, StartContentModerationCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p> Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video. For a list of moderation labels in Amazon Rekognition, see
 *       <a href="https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api">Using the image and video moderation APIs</a>.</p>
 *          <p>Amazon Rekognition Video can moderate content in a video stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name
 *       and the filename of the video. <code>StartContentModeration</code>
 *         returns a job identifier (<code>JobId</code>) which you use to get the results of the analysis.
 *         When content analysis 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 content analysis, first check that the status value published to the Amazon SNS
 *         topic is <code>SUCCEEDED</code>. If so, call <a>GetContentModeration</a> and pass the job identifier
 *         (<code>JobId</code>) from the initial call to <code>StartContentModeration</code>. </p>
 *          <p>For more information, see Moderating content 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, StartContentModerationCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, StartContentModerationCommand } = 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 = { // StartContentModerationRequest
 *   Video: { // Video
 *     S3Object: { // S3Object
 *       Bucket: "STRING_VALUE",
 *       Name: "STRING_VALUE",
 *       Version: "STRING_VALUE",
 *     },
 *   },
 *   MinConfidence: Number("float"),
 *   ClientRequestToken: "STRING_VALUE",
 *   NotificationChannel: { // NotificationChannel
 *     SNSTopicArn: "STRING_VALUE", // required
 *     RoleArn: "STRING_VALUE", // required
 *   },
 *   JobTag: "STRING_VALUE",
 * };
 * const command = new StartContentModerationCommand(input);
 * const response = await client.send(command);
 * // { // StartContentModerationResponse
 * //   JobId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param StartContentModerationCommandInput - {@link StartContentModerationCommandInput}
 * @returns {@link StartContentModerationCommandOutput}
 * @see {@link StartContentModerationCommandInput} for command's `input` shape.
 * @see {@link StartContentModerationCommandOutput} 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 StartContentModerationCommand extends StartContentModerationCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartContentModerationRequest;
            output: StartContentModerationResponse;
        };
        sdk: {
            input: StartContentModerationCommandInput;
            output: StartContentModerationCommandOutput;
        };
    };
}