Apparatus and methods for digital video data compression via a scalable, multi-resolution approach. In one embodiment, the video content may be encoded using a multi-resolution and/or multi-quality scalable coding approach that reduces computational and/or energy load on a client device. In one implementation, a low fidelity image is obtained based on a first full resolution image. The low fidelity image may be encoded to obtain a low fidelity bitstream. A second full resolution image may be obtained based on the low fidelity bitstream. A portion of a difference image obtained based on the second full resolution image and the first full resolution may be encoded to obtain a high fidelity bitstream. The low fidelity bitstream and the high fidelity bitstream may be provided to e.g., a receiving device.

Apparatus and methods for video compression using multi-resolution scalable coding

Systems and methods for providing video content using spatially adaptive video encoding. Panoramic and/or virtual reality content may be viewed by a client device using a viewport with viewing dimension(s) configured smaller than available dimension(s) of the content. Client device may include a portable media device characterized by given energy and/or computational resources. Video content may be encoded using spatially varying encoding. For image playback, portions of panoramic image may be pre-encoded using multiple quality bands. Pre-encoded image portions, matching the viewport, may be provided and reduce computational and/or energy load on the client device during consumption of panoramic content. Quality distribution may include gradual quality transition area allowing for small movements of the viewport without triggering image re-encoding. Larger movements of the viewport may automatically trigger transition to another spatial encoding distribution.

Systems and methods for spatially adaptive video encoding

Apparatus and methods for encoding panoramic content, such as by a wide field of view and large image size. In one implementation, a panoramic image may be mapped to a cube, equirectangular or any other projection e.g., icosahedron or octahedron. Projection may be selected adaptively based on evaluation of the panoramic content. Content evaluation may include obtaining rate distortion cost metric for a given projection configuration including projection type, projection arrangement, and projection orientation. Projection configuration with the lowest cost may be selected as target projection for encoding content. As content composition changes (e.g., object motion, texture presence and/or location) projection may be adaptively selected to match changes in the content. Adaptive content selection methodology may provide for a lower encoded bitrate for a given encoded quality and/or higher quality for a given bitrate.

Apparatus and methods for compressing video content using adaptive projection selection

Watermark data is converted to watermark coefficients, which may be embedded in an image by converting the image to a frequency domain, embedding the watermark in image coefficients corresponding to medium-frequency components, and converting the modified coefficients to the spatial domain. The watermark data is extracted from the modified image by converting the modified image to a frequency domain, extracting the watermark coefficients from the image coefficients, and determining the watermark data from the watermark coefficients. The watermark data may be truncated image data bits such as truncated least significant data bits. After extraction from the watermark, the truncated image data bits may be combined with data bits representing the original image to increase the bit depth of the image. Watermark data may include audio data portions corresponding to a video frame, reference frames temporally proximate to a video frame, high-frequency content, sensor calibration information, or other image data.

Watermarking digital images to increase bit depth

Apparatus and methods for stitching images, or re-stitching previously stitched images. Specifically, the disclosed systems in one implementation save stitching information and/or original overlap source data during an original stitching process. During subsequent retrieval, rendering, and/or display of the stitched images, the originally stitched image can be flexibly augmented, and/or re-stitched to improve the original stitch quality. Practical applications of the disclosed solutions enable, among other things, a user to create and stitch a wide field of view (FOV) panorama from multiple source images on a device with limited processing capability (such as a mobile phone or other capture device). Moreover, post-processing stitching allows for the user to convert from one image projection to another without fidelity loss (or with an acceptable level of loss).

Apparatus and methods for the storage of overlapping regions of imaging data for the generation of optimized stitched images

Apparatus and methods for combining metadata with video into a video stream using a 32-bit aligned payload, that is computer storage efficient and human discernable. The metadata is stored in a track in a self-describing structure. Metadata track may be decoded using an identifier reference table that is substantially smaller than typical fourCC identifier tables. The combined metadata/video stream is compatible with a standard video stream convention and may be played using conventional media player applications that reads media files compliant with MP4/MOV container format. The proposed format may enable decoding of metadata during streaming, partitioning of combined video stream without loss of metadata. The proposed format and/or metadata protocol provides for temporal synchronization of metadata with video frames.

David Newman

Papers

Apparatus and methods for embedding metadata into video stream