Dropbox, Inc.

Ken Elkabany

Daniel R Horn

Keith Winstein

Boyang Niu

Daniel Horn

Techniques for lossless compression of a digital image using prior image context.

Lossless decompression of digital images using prior image context

Lossless compression of digital images using prior image context

A content management system and a collaborative content system implement interoperability features that allow a user to perform certain interactions with a collaborative content item via the interface of the content management system. For instance, the collaborative content system can outsource access permissions for the collaborative content item to the content management system. When the collaborative content system receives a user's request to access the collaborative content item, the collaborative content system requests permissions data for the collaborative content item from the content management system and then determines based on the permissions data whether to grant access to the user. The content management system can also outsource the account storage capacity for the collaborative content item to the collaborative content system. As a result, a collaborative content item that is stored in association with a user account on the content management system is not counted against the user account's storage capacity.

Interoperability between content management system and collaborative content system

Techniques for image recompression. In one implementation, the techniques are implemented to recompress a baseline joint photographic experts group (JPEG) image with compression savings. The techniques replace the Huffman coding of baseline JPEG with an arithmetic coding that uses a sophisticated adaptive probability model. The arithmetic coding techniques avoid global operations such as global sorting that would prevent distributed and multithreaded decompression operations when recovering the original JPEG image from the recompressed image. At the same time, the techniques realize substantial compression savings relative to baseline JPEG, on average 23% compressing savings in some implementations.

Digital image recompression

An application programming interface (API) analysis engine can validate and parse an API specification. It can determine if the API specification (or portion thereof) contains major or minor changes from a previous version of the API specification. The analysis engine can create an intermediate representation of the API. Using the intermediate representation, the analysis engine can generate multiple outputs, such as a client-side SDK, library, etc. as well as documentation and server-side programs. The analysis engine can compare the API specification with a previous API specification and determine backwards compatibility for the API specification. The analysis engine can assign a version number to the API specification. The analysis engine can also provide developer feedback regarding changes that have been made.

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San Francisco, CA, United States of America

Ken Elkabany