A bonding joint between Cu metallization and evaporated In/Sn composite solder is produced at a temperature lower than 200°C in air. The effects of bonding temperature and duration on the interfacial bonding strength are studied herein. Cross sections of bonding joints processed at different bonding conditions were examined by scanning electron microscopy (SEM). The optimal condition, i.e., bonding temperature of 180°C for 20 min, was chosen because it gave rise to the highest average bonding strength of 6.5 MPa, and a uniform bonding interface with minimum voids or cracks. Good bond formation was also evidenced by scanning acoustic imaging. For bonding couples of patterned dies, a helium leak rate of 5.8 9 10 -9 atm cc/s was measured, indicating a hermetic seal. The interfacial reaction between Cu and In/Sn was also studied. Intermetallic compounds (IMCs) such as AuIn 2 , Cu 6 Sn 5 , and Cu 11 In 9 were detected by means of x-ray diffraction analysis (XRD), and transmission electron microscopy (TEM) accompanied by energy-dispersive x-ray (EDX) spectroscopy. Chemical composition analysis also revealed that solder interlayers, Sn, and In were completely converted into IMCs by reaction with Cu. All the IMCs formed in the joints have remelting temperatures above 300°C according to the Cu-In, Cu-Sn, and Au-In phase diagrams. Therefore, the joint is able to sustain high service temperatures due to the presence of these IMCs.

The multi-view video is a collection of multiple videos, capturing the same scene at different viewpoints. Since it contains more affluent information than a single video, it can be applied to various applications, such as 3DTV, free viewpoint TV, surveillance, sports matches, and so on. However, the data size of the multi-view video linearly increases as the number of cameras, therefore it is necessary to develop an effective framework to represent, process, and transmit those huge amounts of data. In recent, multi-view video coding is getting lots of attention as efficient video coding technologies are being developed. Although most of multi-view video coding algorithms are based on the state-of-the-art H.264/AVC video coding technology, they do not utilize rich 3-D information. In this paper, we propose a new framework using the concept of layered depth image (LDI), one of the efficient image-based rendering techniques, to efficiently represent and process multi-view video data. We describe how to represent natural multi-view video based on the LDI approach and the overall framework to process those converted data.

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This paper presents coding schemes for multiple color and depth video using a hierarchical representation. We use the concept of layered depth image (LDI) to represent and process multiview video with depth. After converting those data to the proposed representation, we encode color, depth, and auxiliary data representing the hierarchical structure, respectively. Two kinds of preprocessing approaches are proposed for multiple color and depth components. In order to compress auxiliary data, we have employed a near lossless coding method. Finally, we have reconstructed the original viewpoints successfully from the decoded LDI frames. From our experiments, we realize that the proposed approach is useful for dealing with multiple color and depth data simultaneously.Index Terms-Layered depth image (LDI), multiple depth images, multiview video, scene representation.

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