import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { StartMediaAnalysisJobRequest, StartMediaAnalysisJobResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link StartMediaAnalysisJobCommand}.
 */
export interface StartMediaAnalysisJobCommandInput extends StartMediaAnalysisJobRequest {
}
/**
 * @public
 *
 * The output of {@link StartMediaAnalysisJobCommand}.
 */
export interface StartMediaAnalysisJobCommandOutput extends StartMediaAnalysisJobResponse, __MetadataBearer {
}
declare const StartMediaAnalysisJobCommand_base: {
    new (input: StartMediaAnalysisJobCommandInput): import("@smithy/core/client").CommandImpl<StartMediaAnalysisJobCommandInput, StartMediaAnalysisJobCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: StartMediaAnalysisJobCommandInput): import("@smithy/core/client").CommandImpl<StartMediaAnalysisJobCommandInput, StartMediaAnalysisJobCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Initiates a new media analysis job. Accepts a manifest file in an Amazon S3 bucket. The
 *             output is a manifest file and a summary of the manifest stored in the Amazon S3 bucket.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, StartMediaAnalysisJobCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, StartMediaAnalysisJobCommand } = 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 = { // StartMediaAnalysisJobRequest
 *   ClientRequestToken: "STRING_VALUE",
 *   JobName: "STRING_VALUE",
 *   OperationsConfig: { // MediaAnalysisOperationsConfig
 *     DetectModerationLabels: { // MediaAnalysisDetectModerationLabelsConfig
 *       MinConfidence: Number("float"),
 *       ProjectVersion: "STRING_VALUE",
 *     },
 *   },
 *   Input: { // MediaAnalysisInput
 *     S3Object: { // S3Object
 *       Bucket: "STRING_VALUE",
 *       Name: "STRING_VALUE",
 *       Version: "STRING_VALUE",
 *     },
 *   },
 *   OutputConfig: { // MediaAnalysisOutputConfig
 *     S3Bucket: "STRING_VALUE", // required
 *     S3KeyPrefix: "STRING_VALUE",
 *   },
 *   KmsKeyId: "STRING_VALUE",
 * };
 * const command = new StartMediaAnalysisJobCommand(input);
 * const response = await client.send(command);
 * // { // StartMediaAnalysisJobResponse
 * //   JobId: "STRING_VALUE", // required
 * // };
 *
 * ```
 *
 * @param StartMediaAnalysisJobCommandInput - {@link StartMediaAnalysisJobCommandInput}
 * @returns {@link StartMediaAnalysisJobCommandOutput}
 * @see {@link StartMediaAnalysisJobCommandInput} for command's `input` shape.
 * @see {@link StartMediaAnalysisJobCommandOutput} 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 InvalidManifestException} (client fault)
 *  <p>Indicates that a provided manifest file is empty or larger than the allowed limit.</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 ResourceNotFoundException} (client fault)
 *  <p>The resource specified in the request cannot be found.</p>
 *
 * @throws {@link ResourceNotReadyException} (client fault)
 *  <p>The requested resource isn't ready. For example,
 *          this exception occurs when you call <code>DetectCustomLabels</code> with a
 *          model version that isn't deployed. </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>
 *
 *
 * @example StartMediaAnalysisJob
 * ```javascript
 * // Initiates a new media analysis job.
 * const input = {
 *   Input: {
 *     S3Object: {
 *       Bucket: "input-bucket",
 *       Name: "input-manifest.json"
 *     }
 *   },
 *   JobName: "job-name",
 *   OperationsConfig: {
 *     DetectModerationLabels: {
 *       MinConfidence: 50,
 *       ProjectVersion: "arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958"
 *     }
 *   },
 *   OutputConfig: {
 *     S3Bucket: "output-bucket",
 *     S3KeyPrefix: "output-location"
 *   }
 * };
 * const command = new StartMediaAnalysisJobCommand(input);
 * const response = await client.send(command);
 * /* response is
 * {
 *   JobId: "861a0645d98ef88efb75477628c011c04942d9d5f58faf2703c393c8cf8c1537"
 * }
 * *\/
 * ```
 *
 * @public
 */
export declare class StartMediaAnalysisJobCommand extends StartMediaAnalysisJobCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartMediaAnalysisJobRequest;
            output: StartMediaAnalysisJobResponse;
        };
        sdk: {
            input: StartMediaAnalysisJobCommandInput;
            output: StartMediaAnalysisJobCommandOutput;
        };
    };
}