The cloud refers to a set of services and infrastructure that are accessed via the internet. the cloud infrastructure is shared by many users each one performing different tasks. in order to prevent data leakage in the cloud the Cloud Service Provider should employ an Encryption Algorithm to protect the data of the users. Since the cloud service providers and large amount of data the Encryption Algorithm should be very efficient in terms of computational cost and time. Current Cloud service providers you son of the following algorithms to encrypt and decrypt the data Advanced encryption standard(AES), Rivest–Shamir–Adleman (RSA) and elliptic curve cryptography(ECC).The encryption for cloud should be chosen such that it is computationally efficient for the Cloud Service Provider and also meets the security requirement of the user

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Digitalized video has become an established storage and exchange medium due to the fast development in recording technology. E-lecturing has become added professional popular. The number of lecture video data on the web is growing quickly. Therefore, an additional skillful method for video retrieval within huge lecture video archives is immediately desired. This paper comes close to regular video indexing and video stalk in large lecture videos collection. We apply Automatic video segmentation and key-frame detection to present an image instruction for the video content navigation. In this process, video will be retrieved based on content based video search for the input of speech and video text content. Histogram of gradient and Support Vector Machine is used for the feature extraction from the video and to get the accurate result respectively. This will collect required features from lecture video database as labeled with speech recognition and also retrieve lecture video from database as better than existing algorithm. Hence the proposed system will be more efficient for retrieving the videos and also improves the recognition rate.

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